diff --git a/docs/Manifest.toml b/docs/Manifest.toml
index 0ccd8e1..6cfb9af 100644
--- a/docs/Manifest.toml
+++ b/docs/Manifest.toml
@@ -33,9 +33,27 @@ version = "1.1.1"
 [[deps.Artifacts]]
 uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33"
 
+[[deps.AssetRegistry]]
+deps = ["Distributed", "JSON", "Pidfile", "SHA", "Test"]
+git-tree-sha1 = "b25e88db7944f98789130d7b503276bc34bc098e"
+uuid = "bf4720bc-e11a-5d0c-854e-bdca1663c893"
+version = "0.1.0"
+
 [[deps.Base64]]
 uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
 
+[[deps.BinDeps]]
+deps = ["Libdl", "Pkg", "SHA", "URIParser", "Unicode"]
+git-tree-sha1 = "1289b57e8cf019aede076edab0587eb9644175bd"
+uuid = "9e28174c-4ba2-5203-b857-d8d62c4213ee"
+version = "1.0.2"
+
+[[deps.Blink]]
+deps = ["Base64", "BinDeps", "Distributed", "JSExpr", "JSON", "Lazy", "Logging", "MacroTools", "Mustache", "Mux", "Reexport", "Sockets", "WebIO", "WebSockets"]
+git-tree-sha1 = "08d0b679fd7caa49e2bca9214b131289e19808c0"
+uuid = "ad839575-38b3-5650-b840-f874b8c74a25"
+version = "0.12.5"
+
 [[deps.Bzip2_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
 git-tree-sha1 = "9e2a6b69137e6969bab0152632dcb3bc108c8bdd"
@@ -80,9 +98,9 @@ version = "3.24.0"
 
 [[deps.ColorTypes]]
 deps = ["FixedPointNumbers", "Random"]
-git-tree-sha1 = "eb7f0f8307f71fac7c606984ea5fb2817275d6e4"
+git-tree-sha1 = "b10d0b65641d57b8b4d5e234446582de5047050d"
 uuid = "3da002f7-5984-5a60-b8a6-cbb66c0b333f"
-version = "0.11.4"
+version = "0.11.5"
 
 [[deps.ColorVectorSpace]]
 deps = ["ColorTypes", "FixedPointNumbers", "LinearAlgebra", "Requires", "Statistics", "TensorCore"]
@@ -119,9 +137,9 @@ uuid = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
 version = "1.5.5"
 
 [[deps.Contour]]
-git-tree-sha1 = "d05d9e7b7aedff4e5b51a029dced05cfb6125781"
+git-tree-sha1 = "439e35b0b36e2e5881738abc8857bd92ad6ff9a8"
 uuid = "d38c429a-6771-53c6-b99e-75d170b6e991"
-version = "0.6.2"
+version = "0.6.3"
 
 [[deps.Crayons]]
 git-tree-sha1 = "249fe38abf76d48563e2f4556bebd215aa317e15"
@@ -147,9 +165,9 @@ version = "4.6.0"
 
 [[deps.DataStructures]]
 deps = ["Compat", "InteractiveUtils", "OrderedCollections"]
-git-tree-sha1 = "0f4b5d62a88d8f59003e43c25a8a90de9eb76317"
+git-tree-sha1 = "1d0a14036acb104d9e89698bd408f63ab58cdc82"
 uuid = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
-version = "0.18.18"
+version = "0.18.20"
 
 [[deps.DataValueInterfaces]]
 git-tree-sha1 = "bfc1187b79289637fa0ef6d4436ebdfe6905cbd6"
@@ -170,6 +188,10 @@ git-tree-sha1 = "66c4c81f259586e8f002eacebc177e1fb06363b0"
 uuid = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
 version = "0.10.11"
 
+[[deps.Distributed]]
+deps = ["Random", "Serialization", "Sockets"]
+uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b"
+
 [[deps.DocStringExtensions]]
 deps = ["LibGit2"]
 git-tree-sha1 = "2fb1e02f2b635d0845df5d7c167fec4dd739b00d"
@@ -194,12 +216,12 @@ uuid = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
 version = "1.6.0"
 
 [[deps.EntropyHub]]
-deps = ["Clustering", "Combinatorics", "DSP", "DataInterpolations", "DelimitedFiles", "FFTW", "GroupSlices", "HTTP", "LinearAlgebra", "Plots", "Random", "Statistics", "StatsBase", "StatsFuns"]
-git-tree-sha1 = "a4e2a1cd4915352f8c1ff045bc45a44bc3d5d7c5"
+deps = ["Clustering", "Combinatorics", "DSP", "DataInterpolations", "DelimitedFiles", "FFTW", "GroupSlices", "HTTP", "LinearAlgebra", "PlotlyJS", "Plots", "Random", "Statistics", "StatsBase", "StatsFuns"]
+git-tree-sha1 = "baebe852120489e5a8b76c813724aba1c3247b28"
 repo-rev = "master"
 repo-url = "https://github.com/MattWillFlood/EntropyHub.jl"
 uuid = "3938faea-3bfa-4bc3-8092-0c6746ff9af1"
-version = "1.0.1"
+version = "2.0.0"
 
 [[deps.EpollShim_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl"]
@@ -274,6 +296,12 @@ git-tree-sha1 = "aa31987c2ba8704e23c6c8ba8a4f769d5d7e4f91"
 uuid = "559328eb-81f9-559d-9380-de523a88c83c"
 version = "1.0.10+0"
 
+[[deps.FunctionalCollections]]
+deps = ["Test"]
+git-tree-sha1 = "04cb9cfaa6ba5311973994fe3496ddec19b6292a"
+uuid = "de31a74c-ac4f-5751-b3fd-e18cd04993ca"
+version = "0.5.0"
+
 [[deps.GLFW_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Libglvnd_jll", "Xorg_libXcursor_jll", "Xorg_libXi_jll", "Xorg_libXinerama_jll", "Xorg_libXrandr_jll"]
 git-tree-sha1 = "ff38ba61beff76b8f4acad8ab0c97ef73bb670cb"
@@ -282,15 +310,15 @@ version = "3.3.9+0"
 
 [[deps.GR]]
 deps = ["Artifacts", "Base64", "DelimitedFiles", "Downloads", "GR_jll", "HTTP", "JSON", "Libdl", "LinearAlgebra", "Pkg", "Preferences", "Printf", "Random", "Serialization", "Sockets", "TOML", "Tar", "Test", "UUIDs", "p7zip_jll"]
-git-tree-sha1 = "27442171f28c952804dede8ff72828a96f2bfc1f"
+git-tree-sha1 = "3437ade7073682993e092ca570ad68a2aba26983"
 uuid = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
-version = "0.72.10"
+version = "0.73.3"
 
 [[deps.GR_jll]]
 deps = ["Artifacts", "Bzip2_jll", "Cairo_jll", "FFMPEG_jll", "Fontconfig_jll", "FreeType2_jll", "GLFW_jll", "JLLWrappers", "JpegTurbo_jll", "Libdl", "Libtiff_jll", "Pixman_jll", "Qt6Base_jll", "Zlib_jll", "libpng_jll"]
-git-tree-sha1 = "025d171a2847f616becc0f84c8dc62fe18f0f6dd"
+git-tree-sha1 = "a96d5c713e6aa28c242b0d25c1347e258d6541ab"
 uuid = "d2c73de3-f751-5644-a686-071e5b155ba9"
-version = "0.72.10+0"
+version = "0.73.3+0"
 
 [[deps.Gettext_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Libiconv_jll", "Pkg", "XML2_jll"]
@@ -356,6 +384,12 @@ git-tree-sha1 = "129acf094d168394e80ee1dc4bc06ec835e510a3"
 uuid = "2e76f6c2-a576-52d4-95c1-20adfe4de566"
 version = "2.8.1+1"
 
+[[deps.Hiccup]]
+deps = ["MacroTools", "Test"]
+git-tree-sha1 = "6187bb2d5fcbb2007c39e7ac53308b0d371124bd"
+uuid = "9fb69e20-1954-56bb-a84f-559cc56a8ff7"
+version = "0.2.2"
+
 [[deps.IOCapture]]
 deps = ["Logging", "Random"]
 git-tree-sha1 = "8b72179abc660bfab5e28472e019392b97d0985c"
@@ -375,9 +409,9 @@ version = "1.4.0"
 
 [[deps.IntelOpenMP_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl"]
-git-tree-sha1 = "5fdf2fe6724d8caabf43b557b84ce53f3b7e2f6b"
+git-tree-sha1 = "be50fe8df3acbffa0274a744f1a99d29c45a57f4"
 uuid = "1d5cc7b8-4909-519e-a0f8-d0f5ad9712d0"
-version = "2024.0.2+0"
+version = "2024.1.0+0"
 
 [[deps.InteractiveUtils]]
 deps = ["Markdown"]
@@ -422,6 +456,12 @@ git-tree-sha1 = "7e5d6779a1e09a36db2a7b6cff50942a0a7d0fca"
 uuid = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"
 version = "1.5.0"
 
+[[deps.JSExpr]]
+deps = ["JSON", "MacroTools", "Observables", "WebIO"]
+git-tree-sha1 = "b413a73785b98474d8af24fd4c8a975e31df3658"
+uuid = "97c1335a-c9c5-57fe-bc5d-ec35cebe8660"
+version = "0.5.4"
+
 [[deps.JSON]]
 deps = ["Dates", "Mmap", "Parsers", "Unicode"]
 git-tree-sha1 = "31e996f0a15c7b280ba9f76636b3ff9e2ae58c9a"
@@ -434,6 +474,12 @@ git-tree-sha1 = "3336abae9a713d2210bb57ab484b1e065edd7d23"
 uuid = "aacddb02-875f-59d6-b918-886e6ef4fbf8"
 version = "3.0.2+0"
 
+[[deps.Kaleido_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "43032da5832754f58d14a91ffbe86d5f176acda9"
+uuid = "f7e6163d-2fa5-5f23-b69c-1db539e41963"
+version = "0.2.1+0"
+
 [[deps.LAME_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
 git-tree-sha1 = "f6250b16881adf048549549fba48b1161acdac8c"
@@ -465,15 +511,21 @@ version = "1.3.1"
 
 [[deps.Latexify]]
 deps = ["Format", "InteractiveUtils", "LaTeXStrings", "MacroTools", "Markdown", "OrderedCollections", "Requires"]
-git-tree-sha1 = "cad560042a7cc108f5a4c24ea1431a9221f22c1b"
+git-tree-sha1 = "e0b5cd21dc1b44ec6e64f351976f961e6f31d6c4"
 uuid = "23fbe1c1-3f47-55db-b15f-69d7ec21a316"
-version = "0.16.2"
+version = "0.16.3"
 
 [[deps.LazilyInitializedFields]]
 git-tree-sha1 = "8f7f3cabab0fd1800699663533b6d5cb3fc0e612"
 uuid = "0e77f7df-68c5-4e49-93ce-4cd80f5598bf"
 version = "1.2.2"
 
+[[deps.Lazy]]
+deps = ["MacroTools"]
+git-tree-sha1 = "1370f8202dac30758f3c345f9909b97f53d87d3f"
+uuid = "50d2b5c4-7a5e-59d5-8109-a42b560f39c0"
+version = "0.15.1"
+
 [[deps.LazyArtifacts]]
 deps = ["Artifacts", "Pkg"]
 uuid = "4af54fe1-eca0-43a8-85a7-787d91b784e3"
@@ -573,10 +625,10 @@ uuid = "6c6e2e6c-3030-632d-7369-2d6c69616d65"
 version = "0.1.4"
 
 [[deps.MKL_jll]]
-deps = ["Artifacts", "IntelOpenMP_jll", "JLLWrappers", "LazyArtifacts", "Libdl"]
-git-tree-sha1 = "72dc3cf284559eb8f53aa593fe62cb33f83ed0c0"
+deps = ["Artifacts", "IntelOpenMP_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "oneTBB_jll"]
+git-tree-sha1 = "80b2833b56d466b3858d565adcd16a4a05f2089b"
 uuid = "856f044c-d86e-5d09-b602-aeab76dc8ba7"
-version = "2024.0.0+0"
+version = "2024.1.0+0"
 
 [[deps.MacroTools]]
 deps = ["Markdown", "Random"]
@@ -612,9 +664,9 @@ version = "0.3.2"
 
 [[deps.Missings]]
 deps = ["DataAPI"]
-git-tree-sha1 = "f66bdc5de519e8f8ae43bdc598782d35a25b1272"
+git-tree-sha1 = "ec4f7fbeab05d7747bdf98eb74d130a2a2ed298d"
 uuid = "e1d29d7a-bbdc-5cf2-9ac0-f12de2c33e28"
-version = "1.1.0"
+version = "1.2.0"
 
 [[deps.Mmap]]
 uuid = "a63ad114-7e13-5084-954f-fe012c677804"
@@ -629,6 +681,18 @@ version = "0.7.7"
 uuid = "14a3606d-f60d-562e-9121-12d972cd8159"
 version = "2022.2.1"
 
+[[deps.Mustache]]
+deps = ["Printf", "Tables"]
+git-tree-sha1 = "a7cefa21a2ff993bff0456bf7521f46fc077ddf1"
+uuid = "ffc61752-8dc7-55ee-8c37-f3e9cdd09e70"
+version = "1.0.19"
+
+[[deps.Mux]]
+deps = ["AssetRegistry", "Base64", "HTTP", "Hiccup", "Pkg", "Sockets", "WebSockets"]
+git-tree-sha1 = "82dfb2cead9895e10ee1b0ca37a01088456c4364"
+uuid = "a975b10e-0019-58db-a62f-e48ff68538c9"
+version = "0.7.6"
+
 [[deps.NaNMath]]
 deps = ["OpenLibm_jll"]
 git-tree-sha1 = "0877504529a3e5c3343c6f8b4c0381e57e4387e4"
@@ -645,11 +709,16 @@ version = "0.4.16"
 uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908"
 version = "1.2.0"
 
+[[deps.Observables]]
+git-tree-sha1 = "7438a59546cf62428fc9d1bc94729146d37a7225"
+uuid = "510215fc-4207-5dde-b226-833fc4488ee2"
+version = "0.5.5"
+
 [[deps.OffsetArrays]]
 deps = ["Adapt"]
-git-tree-sha1 = "6a731f2b5c03157418a20c12195eb4b74c8f8621"
+git-tree-sha1 = "e64b4f5ea6b7389f6f046d13d4896a8f9c1ba71e"
 uuid = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
-version = "1.13.0"
+version = "1.14.0"
 
 [[deps.Ogg_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
@@ -701,12 +770,24 @@ deps = ["Artifacts", "Libdl"]
 uuid = "efcefdf7-47ab-520b-bdef-62a2eaa19f15"
 version = "10.40.0+0"
 
+[[deps.Parameters]]
+deps = ["OrderedCollections", "UnPack"]
+git-tree-sha1 = "34c0e9ad262e5f7fc75b10a9952ca7692cfc5fbe"
+uuid = "d96e819e-fc66-5662-9728-84c9c7592b0a"
+version = "0.12.3"
+
 [[deps.Parsers]]
 deps = ["Dates", "PrecompileTools", "UUIDs"]
 git-tree-sha1 = "8489905bcdbcfac64d1daa51ca07c0d8f0283821"
 uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
 version = "2.8.1"
 
+[[deps.Pidfile]]
+deps = ["FileWatching", "Test"]
+git-tree-sha1 = "2d8aaf8ee10df53d0dfb9b8ee44ae7c04ced2b03"
+uuid = "fa939f87-e72e-5be4-a000-7fc836dbe307"
+version = "1.3.0"
+
 [[deps.Pipe]]
 git-tree-sha1 = "6842804e7867b115ca9de748a0cf6b364523c16d"
 uuid = "b98c9c47-44ae-5843-9183-064241ee97a0"
@@ -735,11 +816,29 @@ git-tree-sha1 = "7b1a9df27f072ac4c9c7cbe5efb198489258d1f5"
 uuid = "995b91a9-d308-5afd-9ec6-746e21dbc043"
 version = "1.4.1"
 
+[[deps.PlotlyBase]]
+deps = ["ColorSchemes", "Dates", "DelimitedFiles", "DocStringExtensions", "JSON", "LaTeXStrings", "Logging", "Parameters", "Pkg", "REPL", "Requires", "Statistics", "UUIDs"]
+git-tree-sha1 = "56baf69781fc5e61607c3e46227ab17f7040ffa2"
+uuid = "a03496cd-edff-5a9b-9e67-9cda94a718b5"
+version = "0.8.19"
+
+[[deps.PlotlyJS]]
+deps = ["Base64", "Blink", "DelimitedFiles", "JSExpr", "JSON", "Kaleido_jll", "Markdown", "Pkg", "PlotlyBase", "PlotlyKaleido", "REPL", "Reexport", "Requires", "WebIO"]
+git-tree-sha1 = "e62d886d33b81c371c9d4e2f70663c0637f19459"
+uuid = "f0f68f2c-4968-5e81-91da-67840de0976a"
+version = "0.18.13"
+
+[[deps.PlotlyKaleido]]
+deps = ["Base64", "JSON", "Kaleido_jll"]
+git-tree-sha1 = "2650cd8fb83f73394996d507b3411a7316f6f184"
+uuid = "f2990250-8cf9-495f-b13a-cce12b45703c"
+version = "2.2.4"
+
 [[deps.Plots]]
-deps = ["Base64", "Contour", "Dates", "Downloads", "FFMPEG", "FixedPointNumbers", "GR", "JLFzf", "JSON", "LaTeXStrings", "Latexify", "LinearAlgebra", "Measures", "NaNMath", "Pkg", "PlotThemes", "PlotUtils", "PrecompileTools", "Preferences", "Printf", "REPL", "Random", "RecipesBase", "RecipesPipeline", "Reexport", "RelocatableFolders", "Requires", "Scratch", "Showoff", "SparseArrays", "Statistics", "StatsBase", "UUIDs", "UnicodeFun", "UnitfulLatexify", "Unzip"]
-git-tree-sha1 = "ccee59c6e48e6f2edf8a5b64dc817b6729f99eb5"
+deps = ["Base64", "Contour", "Dates", "Downloads", "FFMPEG", "FixedPointNumbers", "GR", "JLFzf", "JSON", "LaTeXStrings", "Latexify", "LinearAlgebra", "Measures", "NaNMath", "Pkg", "PlotThemes", "PlotUtils", "PrecompileTools", "Printf", "REPL", "Random", "RecipesBase", "RecipesPipeline", "Reexport", "RelocatableFolders", "Requires", "Scratch", "Showoff", "SparseArrays", "Statistics", "StatsBase", "UUIDs", "UnicodeFun", "UnitfulLatexify", "Unzip"]
+git-tree-sha1 = "442e1e7ac27dd5ff8825c3fa62fbd1e86397974b"
 uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
-version = "1.39.0"
+version = "1.40.4"
 
 [[deps.Polynomials]]
 deps = ["Intervals", "LinearAlgebra", "OffsetArrays", "RecipesBase"]
@@ -920,9 +1019,9 @@ version = "1.0.0"
 
 [[deps.TZJData]]
 deps = ["Artifacts"]
-git-tree-sha1 = "b69f8338df046774bd975b13be9d297eca5efacb"
+git-tree-sha1 = "1607ad46cf8d642aa779a1d45af1c8620dbf6915"
 uuid = "dc5dba14-91b3-4cab-a142-028a31da12f7"
-version = "1.1.0+2023d"
+version = "1.2.0+2024a"
 
 [[deps.TableTraits]]
 deps = ["IteratorInterfaceExtensions"]
@@ -963,6 +1062,12 @@ git-tree-sha1 = "71509f04d045ec714c4748c785a59045c3736349"
 uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
 version = "0.10.7"
 
+[[deps.URIParser]]
+deps = ["Unicode"]
+git-tree-sha1 = "53a9f49546b8d2dd2e688d216421d050c9a31d0d"
+uuid = "30578b45-9adc-5946-b283-645ec420af67"
+version = "0.4.1"
+
 [[deps.URIs]]
 git-tree-sha1 = "67db6cc7b3821e19ebe75791a9dd19c9b1188f2b"
 uuid = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4"
@@ -972,6 +1077,11 @@ version = "1.5.1"
 deps = ["Random", "SHA"]
 uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 
+[[deps.UnPack]]
+git-tree-sha1 = "387c1f73762231e86e0c9c5443ce3b4a0a9a0c2b"
+uuid = "3a884ed6-31ef-47d7-9d2a-63182c4928ed"
+version = "1.0.2"
+
 [[deps.Unicode]]
 uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
 
@@ -1016,6 +1126,24 @@ git-tree-sha1 = "93f43ab61b16ddfb2fd3bb13b3ce241cafb0e6c9"
 uuid = "2381bf8a-dfd0-557d-9999-79630e7b1b91"
 version = "1.31.0+0"
 
+[[deps.WebIO]]
+deps = ["AssetRegistry", "Base64", "Distributed", "FunctionalCollections", "JSON", "Logging", "Observables", "Pkg", "Random", "Requires", "Sockets", "UUIDs", "WebSockets", "Widgets"]
+git-tree-sha1 = "0eef0765186f7452e52236fa42ca8c9b3c11c6e3"
+uuid = "0f1e0344-ec1d-5b48-a673-e5cf874b6c29"
+version = "0.8.21"
+
+[[deps.WebSockets]]
+deps = ["Base64", "Dates", "HTTP", "Logging", "Sockets"]
+git-tree-sha1 = "f91a602e25fe6b89afc93cf02a4ae18ee9384ce3"
+uuid = "104b5d7c-a370-577a-8038-80a2059c5097"
+version = "1.5.9"
+
+[[deps.Widgets]]
+deps = ["Colors", "Dates", "Observables", "OrderedCollections"]
+git-tree-sha1 = "fcdae142c1cfc7d89de2d11e08721d0f2f86c98a"
+uuid = "cc8bc4a8-27d6-5769-a93b-9d913e69aa62"
+version = "0.6.6"
+
 [[deps.XML2_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Libiconv_jll", "Zlib_jll"]
 git-tree-sha1 = "532e22cf7be8462035d092ff21fada7527e2c488"
@@ -1271,6 +1399,12 @@ deps = ["Artifacts", "Libdl"]
 uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"
 version = "1.48.0+0"
 
+[[deps.oneTBB_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "7d0ea0f4895ef2f5cb83645fa689e52cb55cf493"
+uuid = "1317d2d5-d96f-522e-a858-c73665f53c3e"
+version = "2021.12.0+0"
+
 [[deps.p7zip_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0"
diff --git a/docs/make.jl b/docs/make.jl
index dd072f8..16f7fbb 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -24,9 +24,12 @@ makedocs(
         "Home" => "index.md",
         "Guide" => ["Base Entropies" => "Guide/Base_Entropies.md",
                 "Cross-Entropies" => "Guide/Cross_Entropies.md",
+                "Multivariate Entropies" => "Guide/Multivariate_Entropies.md",
+                "Bidimensional Entropies" => "Guide/Bidimensional_Entropies.md",
                 "Multiscale Entropies" => "Guide/Multiscale_Entropies.md",
                 "Multiscale Cross-Entropies" => "Guide/Multiscale_Cross_Entropies.md",
-                "Bidimensional Entropies" => "Guide/Bidimensional_Entropies.md",
+                "Multivariate Multiscale Entropies" => "Guide/Multivariate_Multiscale_Entropies.md",
+                "Other Functions" => "Guide/Other.md",
                 ],
         "Examples" => ["Notes on Examples" => "Examples/Examples.md",
                 "Ex.1: Sample Entropy" =>  "Examples/Example1.md",
@@ -39,7 +42,9 @@ makedocs(
                 "Ex.8: Composite Multiscale Cross-Approximate Entropy" =>  "Examples/Example8.md",
                 "Ex.9: Hierarchical Multiscale corrected Cross-Conditional Entropy" =>  "Examples/Example9.md",
                 "Ex.10: Bidimensional Fuzzy Entropy" =>  "Examples/Example10.md",
-                "Ex.11: Window Data Tool" =>  "Examples/Example11.md",
+                "Ex.11: Multivariate Dispersion Entropy" =>  "Examples/Example11.md",
+                "Ex.12: [Generalized] Refined-composite Multivariate Multiscale Fuzzy Entropy" =>  "Examples/Example12.md",
+                "Ex.13: Window Data Tool" =>  "Examples/Example13.md",
                 ],
     ],
 )
@@ -51,49 +56,7 @@ deploydocs(
 
     #versions = nothing,
 )
-
-
-#= """using EntropyHub
-using Documenter
-
-DocMeta.setdocmeta!(EntropyHub, :DocTestSetup, :(using EntropyHub); recursive=true)
-
-makedocs(;
-    modules = [EntropyHub],
-    authors = "Matthew W. Flood <info@entropyhub.xyz>",
-    repo = "https://github.com/MattWillFlood/EntropyHub.jl/blob/{commit}{path}#{line}",
-    sitename = "EntropyHub.jl",
-    doctest = false,
-    format = Documenter.HTML(;  
-           prettyurls=get(ENV, "CI", nothing) == "true",
-           canonical="https://mattwillflood.github.io/EntropyHub.jl",
-           assets=String[],  
-           collapselevel = 1, 
-           ),
-    pages = [ "Home" => "index.md",
-        
-        "Guide" => ["Base Entropies" => "Guide/Base_Entropies.md",
-                "Cross-Entropies" => "Guide/Cross_Entropies.md",
-                "Multiscale Entropies" => "Guide/Multiscale_Entropies.md",
-                "Multiscale Cross-Entropies" => "Guide/Multiscale_Cross_Entropies.md",
-                "Bidimensional Entropies" => "Guide/Bidimensional_Entropies.md",
-                ],
-        
-        "Examples" => ["Notes on Examples" => "Examples/Examples.md",
-                "Ex.1: Sample Entropy" =>  "Examples/Example1.md",
-                "Ex.2: Permutation Entropy" =>  "Examples/Example2.md",
-                "Ex.3: Phase Entropy" =>  "Examples/Example3.md",
-                "Ex.4: Cross-Distribution Entropy" =>  "Examples/Example4.md",
-                "Ex.5: Multiscale Entropy Object" =>  "Examples/Example5.md",
-                "Ex.6: Multiscale [Increment] Entropy" =>  "Examples/Example6.md",
-                "Ex.7: Refined Multiscale [Sample] Entropy" =>  "Examples/Example7.md",
-                "Ex.8: Composite Multiscale Cross-Approximate Entropy" =>  "Examples/Example8.md",
-                "Ex.9: Hierarchical Multiscale corrected Cross-Conditional Entropy" =>  "Examples/Example9.md",
-                "Ex.10: Bidimensional Fuzzy Entropy" =>  "Examples/Example10.md",
-                ],
-    ],
-)
-
+#=
 deploydocs(;
     repo="github.com/MattWillFlood/EntropyHub.jl",
     devbranch = "master",
diff --git a/docs/src/Examples/Example11.md b/docs/src/Examples/Example11.md
index ad41d12..d7f85cc 100644
--- a/docs/src/Examples/Example11.md
+++ b/docs/src/Examples/Example11.md
@@ -1,109 +1,62 @@
-# Example 11: Window Data Tool
+# Example 11: Multivariate Dispersion Entropy
 
-This example shows how to use the `WindowData()` function to divide univariate/multivariate data into
-subsequences.
-```@docs
-EntropyHub.WindowData
-```
-_______________________________________________________________________________
-
-### Ex. 1
-Import a sequence of uniformly distributed random numbers.
-```
-X = ExampleData("uniform");
-```
+Import a vector of 4096 uniformly distributed random integers in range [1 8] and convert it to a multivariate set of 4 sequences with 1024 samples each. 
 
-Extract a series of subsequences by dividing the sequence into windows of length 1024 with no overlap.
 ```@example
 using EntropyHub # hide
-X = ExampleData("uniform"); # hide
-WinData, Log = WindowData(X, WinLen = 1024);
-WinData # hide
-```
-```@example
-using EntropyHub # hide
-X = ExampleData("uniform"); # hide
-WinData, Log = WindowData(X, WinLen = 1024); # hide
-Log # hide
+X = ExampleData("randintegers");
+Data = reshape(X, 1024, 4);
+Data # hide
 ```
 
-Repeat the previous step but change the number of overlapping window samples to 256.
-```@example
-using EntropyHub # hide
-X = ExampleData("uniform"); # hide
-WinData, Log = WindowData(X, WinLen = 1024, Overlap = 256);
-WinData # hide
-```
-```@example
-using EntropyHub # hide
-X = ExampleData("uniform"); # hide
-WinData, Log = WindowData(X, WinLen = 1024, Overlap = 256); # hide
-Log # hide
-```
-_______________________________________________________________________________
+Calculate the multivariate dispersion entropy and reverse dispersion entropy for embedding dimensions (m) = [1,1,2,3], using a 7-symbol transform.
 
-### Ex. 2
-Window a range of numbers (1:1234) into 5 windows.
 ```@example
 using EntropyHub # hide
-WinData, Log = WindowData(1:1234);
-WinData # hide
-```
+X = ExampleData("randintegers"); # hide
+Data = reshape(X, 1024, 4); # hide
+MDisp, RDE = MvDispEn(Data, m = [1,1,2,3], c = 7);
+MDisp  # hide
+```   
 ```@example
 using EntropyHub # hide
-WinData, Log = WindowData(1:1234); # hide
-Log # hide
-```
+X = ExampleData("randintegers"); # hide
+Data = reshape(X, 1024, 4); # hide
+MDisp, RDE = MvDispEn(Data, m = [1,1,2,3], c = 7); # hide
+RDE  # hide
+``` 
 
-Repeat the previous step, but this time retain any remaining samples that do not fill the last window.
-```@example
-using EntropyHub # hide
-WinData, Log = WindowData(1:1234, Mode="include");
-WinData # hide
-```
-```@example
-using EntropyHub # hide
-_, Log = WindowData(1:1234); # hide
-Log # hide
-```
-Note that the last vector in `WinData` contains only 4 values.
-```@example
-using EntropyHub # hide
-WinData, _ = WindowData(1:1234, Mode="include"); # hide
-WinData[end] # hide
-```
-_______________________________________________________________________________
+Perform the same calculation but normalize the output entropy estimate w.r.t the number of unique dispersion patterns
 
-### Ex. 3
-Generate a multivariate dataset of 5 uniformly-distributed random number sequences (N=3333) and 
-divide the dataset into subsets of 777 samples.
 ```@example
 using EntropyHub # hide
-using Random
-X = rand(MersenneTwister(0), 3333, 5)
-WinData, Log = WindowData(X, WinLen = 777)
-WinData # hide
-```
+X = ExampleData("randintegers"); # hide
+Data = reshape(X, 1024, 4); # hide
+MDisp, RDE = MvDispEn(Data, m = [1,1,2,3], c = 7, Norm = true);
+MDisp  # hide
+``` 
 ```@example
 using EntropyHub # hide
-using Random # hide
-X = rand(MersenneTwister(0), 3333, 5) # hide
-WinData, Log = WindowData(X, WinLen = 777) # hide
-Log # hide
-```
+X = ExampleData("randintegers"); # hide
+Data = reshape(X, 1024, 4); # hide
+MDisp, RDE = MvDispEn(Data, m = [1,1,2,3], c = 7, Norm = true); # hide
+RDE  # hide
+``` 
+        
+Compare the results above (``Methodx == 'v1'``) with those obtained using the *mvDE* method (``Methodx=='v2'``), returning estimates for each value from 1, ..., max(m)
 
-Repeat the previous step including 55 samples of overlap and retain any remaining samples that do not fill a window.
 ```@example
 using EntropyHub # hide
-using Random # hide
-X = rand(MersenneTwister(0), 3333, 5) # hide
-WinData, Log = WindowData(X, WinLen = 777, Overlap = 55, Mode = "include")
-WinData # hide
-```
+X = ExampleData("randintegers"); # hide
+Data = reshape(X, 1024, 4); # hide
+MDisp, RDE = MvDispEn(Data, m = [1,1,2,3], c = 7, Norm = true, Methodx = "v2")
+MDisp  # hide
+``` 
 ```@example
 using EntropyHub # hide
-using Random # hide
-X = rand(MersenneTwister(0), 3333, 5) # hide
-WinData, Log = WindowData(X, WinLen = 777, Overlap = 55, Mode = "include") # hide
-Log # hide
-```
+X = ExampleData("randintegers"); # hide
+Data = reshape(X, 1024, 4); # hide
+MDisp, RDE = MvDispEn(Data, m = [1,1,2,3], c = 7, Norm = true, Methodx = "v2") # hide
+RDE  # hide
+``` 
+
diff --git a/docs/src/Examples/Example12.md b/docs/src/Examples/Example12.md
new file mode 100644
index 0000000..8c3f043
--- /dev/null
+++ b/docs/src/Examples/Example12.md
@@ -0,0 +1,48 @@
+# Example 12: [Generalized] Refined-composite Multivariate Multiscale Fuzzy Entropy
+
+Import the x, y, and z components of the Lorenz system of equations.
+
+```
+Data = ExampleData("lorenz");
+
+using Plots
+scatter(Data[:,1], Data[:,2], Data[:,3],
+markercolor = "green", markerstrokecolor = "black",
+markersize = 3, background_color = "black", grid = false)
+```
+
+![Lorenz](../assets/lorenzjl.png)
+
+Create a multiscale entropy object with the following parameters:
+EnType =  MvFuzzEn(), fuzzy membership function = 'constgaussian', fuzzy function parameter = 1.75, normalized data to unit variance = true.
+
+```@example
+using EntropyHub # hide
+Mobj = MSobject(MvFuzzEn, Fx = "constgaussian", r = 1.75, Norm = true)
+```
+
+Calculate the generalized refined-composite multivariate multiscale fuzzy entropy over 5 scales and plotting the output.
+
+!!! tip 
+
+    When the multivariate entropy method is multivariate fuzzy entropy (``MvFuzzEn``), **cMvMSEn** by default employs a generalized graining procedure
+    with the standard deviation (not the variance like in MvMSEn). This follows the method presented in [1].
+    
+    [1] Azami, Fernández and Escudero.
+    " *Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis* "
+    Medical & biological engineering & computing 55 (2017): 2037-2052
+
+!!! warning
+
+    As with conventional generalized multiscale entropy, the multiscale entropy value for the first scale will always == 0, as the variance or 
+    standard deviation of a singular value is 0!
+
+```@example
+using EntropyHub # hide
+Data = ExampleData("lorenz"); # hide
+Mobj = MSobject(MvFuzzEn, Fx = "constgaussian", r = 1.75, Norm = true) # hide
+MSx, CI = cMvMSEn(Data, Mobj, Scales = 5, Refined = true, Plotx = true)
+```
+
+![rcMvMSEn](../assets/rcMvMSEnjl.png)
+
diff --git a/docs/src/Examples/Example13.md b/docs/src/Examples/Example13.md
new file mode 100644
index 0000000..852360b
--- /dev/null
+++ b/docs/src/Examples/Example13.md
@@ -0,0 +1,107 @@
+# Example 13: Window Data Tool
+
+This example shows how to use the [`WindowData()`](@ref) function to divide univariate/multivariate data into
+subsequences.
+
+_______________________________________________________________________________
+
+### Ex. 1
+Import a sequence of uniformly distributed random numbers.
+```
+X = ExampleData("uniform");
+```
+
+Extract a series of subsequences by dividing the sequence into windows of length 1024 with no overlap.
+```@example
+using EntropyHub # hide
+X = ExampleData("uniform"); # hide
+WinData, Log = WindowData(X, WinLen = 1024);
+WinData # hide
+```
+```@example
+using EntropyHub # hide
+X = ExampleData("uniform"); # hide
+WinData, Log = WindowData(X, WinLen = 1024); # hide
+Log # hide
+```
+
+Repeat the previous step but change the number of overlapping window samples to 256.
+```@example
+using EntropyHub # hide
+X = ExampleData("uniform"); # hide
+WinData, Log = WindowData(X, WinLen = 1024, Overlap = 256);
+WinData # hide
+```
+```@example
+using EntropyHub # hide
+X = ExampleData("uniform"); # hide
+WinData, Log = WindowData(X, WinLen = 1024, Overlap = 256); # hide
+Log # hide
+```
+_______________________________________________________________________________
+
+### Ex. 2
+Window a range of numbers (1:1234) into 5 windows.
+```@example
+using EntropyHub # hide
+WinData, Log = WindowData(1:1234);
+WinData # hide
+```
+```@example
+using EntropyHub # hide
+WinData, Log = WindowData(1:1234); # hide
+Log # hide
+```
+
+Repeat the previous step, but this time retain any remaining samples that do not fill the last window.
+```@example
+using EntropyHub # hide
+WinData, Log = WindowData(1:1234, Mode="include");
+WinData # hide
+```
+```@example
+using EntropyHub # hide
+_, Log = WindowData(1:1234); # hide
+Log # hide
+```
+Note that the last vector in `WinData` contains only 4 values.
+```@example
+using EntropyHub # hide
+WinData, _ = WindowData(1:1234, Mode="include"); # hide
+WinData[end] # hide
+```
+_______________________________________________________________________________
+
+### Ex. 3
+Generate a multivariate dataset of 5 uniformly-distributed random number sequences (N=3333) and 
+divide the dataset into subsets of 777 samples.
+```@example
+using EntropyHub # hide
+using Random
+X = rand(MersenneTwister(0), 3333, 5)
+WinData, Log = WindowData(X, WinLen = 777)
+WinData # hide
+```
+```@example
+using EntropyHub # hide
+using Random # hide
+X = rand(MersenneTwister(0), 3333, 5) # hide
+WinData, Log = WindowData(X, WinLen = 777) # hide
+Log # hide
+```
+
+Repeat the previous step including 55 samples of overlap and retain any remaining samples that do not fill a window.
+```@example
+using EntropyHub # hide
+using Random # hide
+X = rand(MersenneTwister(0), 3333, 5) # hide
+WinData, Log = WindowData(X, WinLen = 777, Overlap = 55, Mode = "include")
+WinData # hide
+```
+```@example
+using EntropyHub # hide
+using Random # hide
+X = rand(MersenneTwister(0), 3333, 5) # hide
+WinData, Log = WindowData(X, WinLen = 777, Overlap = 55, Mode = "include") # hide
+Log # hide
+```
diff --git a/docs/src/Examples/Examples.md b/docs/src/Examples/Examples.md
index cba5c6b..6addf92 100644
--- a/docs/src/Examples/Examples.md
+++ b/docs/src/Examples/Examples.md
@@ -1,6 +1,7 @@
 ```@contents
 Pages = ["Example1.md", "Example2.md", "Example3.md", "Example4.md", "Example5.md",
-        "Example6.md","Example7.md","Example8.md","Example9.md","Example10.md", "Example11.md"]
+        "Example6.md","Example7.md","Example8.md","Example9.md","Example10.md",
+         "Example11.md", "Example12.md", "Example13.md"]
 ```
 
 # Examples:
@@ -9,15 +10,10 @@ Pages = ["Example1.md", "Example2.md", "Example3.md", "Example4.md", "Example5.m
 The following sections provide some basic examples of EntropyHub functions. 
 These examples are merely a snippet of the full range of EntropyHub functionality. 
 
-In the following examples, signals / data are imported into Julia using the ExampleData() function. 
+In the following examples, signals / data are imported into Julia using the  [`ExampleData()`](@ref) function. 
 To use this function as shown in the examples below, __*an internet connection is required*__.
 
 
-```@docs
-EntropyHub.ExampleData
-```
-
-
 !!! tip "IMPORTANT TO NOTE"
     
     Parameters of the base or cross- entropy methods are passed to multiscale and multiscale cross- functions using the multiscale entropy object using MSobject.
@@ -26,11 +22,11 @@ EntropyHub.ExampleData
 
 !!! warning "Hierarchical Multiscale Entropy (+ Multiscale Cross-Entropy)"
     
-    In hierarchical multiscale entropy (hMSEn) and hierarchical multiscale cross-entropy (hXMSEn) functions, the length of the time series signal(s) is halved at each scale. 
+    In hierarchical multiscale entropy ([hMSEn](@ref)) and hierarchical multiscale cross-entropy ([hXMSEn](@ref)) functions, the length of the time series signal(s) is halved at each scale. 
     Thus, hMSEn and hXMSEn only use the first 2^N data points where 2^N <= the length of the original time series signal.
     i.e. For a signal of 5000 points, only the first 4096 are used. For a signal of 1500 points, only the first 1024 are used.
 
 !!! danger "BIDIMENSIONAL ENTROPIES"
     
-    Each bidimensional entropy function (SampEn2D, FuzzEn2D, DistEn2D) has an important keyword argument - `Lock`. 
+    Each bidimensional entropy function (SampEn2D, FuzzEn2D, DistEn2D, EspEn2D) has an important keyword argument - `Lock`. 
     Bidimensional entropy functions are "locked" by default (`Lock == true`) to only permit matrices with a maximum  size of 128 x 128.
diff --git a/docs/src/Guide/Base_Entropies.md b/docs/src/Guide/Base_Entropies.md
index e0f6ae2..9e26b94 100644
--- a/docs/src/Guide/Base_Entropies.md
+++ b/docs/src/Guide/Base_Entropies.md
@@ -1,26 +1,12 @@
+```@meta
+CollapsedDocStrings = true
+Description = "Entropy of single time series signals"
+```
 # Base Entropies
 
 __*Functions for estimating the entropy of a single univariate time series.*__
 
-`The following functions also form the base entropy method used by Multiscale functions.`
-
-These functions are directly available when EntropyHub is imported:
-
-```
-julia> using EntropyHub
-
-julia> names(EntropyHub)
-```
-```
- :ApEn
- :AttnEn
- :BubbEn
-   ⋮
- :hXMSEn
- :rMSEn
- :rXMSEn
-```
-
+`The following functions also form the base entropy method used by Multiscale functions` -> [`MSEn`](@ref), [`cMSEn`](@ref), [`rMSEn`](@ref), [`hMSEn`](@ref)
 
 ```@docs 
 EntropyHub.ApEn
diff --git a/docs/src/Guide/Bidimensional_Entropies.md b/docs/src/Guide/Bidimensional_Entropies.md
index 24bd5b6..32c89f7 100644
--- a/docs/src/Guide/Bidimensional_Entropies.md
+++ b/docs/src/Guide/Bidimensional_Entropies.md
@@ -1,3 +1,7 @@
+```@meta
+CollapsedDocStrings = true
+Description = "Entropy of two-dimensional (2D) data"
+```
 # Bidimensional Entropies
 
 __*Functions for estimating the entropy of a two-dimensional univariate matrix.*__
@@ -8,8 +12,8 @@ matrices. Hence, bidimensional entropy functions are useful for applications suc
 
 !!! danger "IMPORTANT: Locked Matrix Size"
 
-    Each bidimensional entropy function (`SampEn2D`, `FuzzEn2D`, `DistEn2D`, `DispEn2D`, 
-    `EspEn2D`, `PermEn2D`) has an important keyword argument - `Lock`. Bidimensional entropy functions are
+    Each bidimensional entropy function ([`SampEn2D`](@ref), [`FuzzEn2D`](@ref), [`DistEn2D`](@ref), [`DispEn2D`](@ref), 
+    [`EspEn2D`](@ref), [`PermEn2D`](@ref)) has an important keyword argument - `Lock`. Bidimensional entropy functions are
     "locked" by default (`Lock == true`) to only permit matrices with a maximum size of 128 x 128.
 
     The reason for this is because there are hundreds of millions of pairwise calculations
diff --git a/docs/src/Guide/Cross_Entropies.md b/docs/src/Guide/Cross_Entropies.md
index 1f33d8d..20dcd3c 100644
--- a/docs/src/Guide/Cross_Entropies.md
+++ b/docs/src/Guide/Cross_Entropies.md
@@ -1,24 +1,13 @@
+```@meta
+CollapsedDocStrings = true
+Description = "Entropy between two time series signals"
+```
 # Cross Entropies
 
 __*Functions for estimating the cross-entropy between two univariate time series.*__
 
-`The following functions also form the cross-entropy method used by Multiscale Cross-Entropy functions.`
-
-These functions are directly available when EntropyHub is imported:
+`The following functions also form the cross-entropy method used by Multiscale Cross-Entropy functions.` -> [`XMSEn`](@ref), [`cXMSEn`](@ref), [`rXMSEn`](@ref), [`hXMSEn`](@ref)
 
-```
-julia> using EntropyHub
-julia> names(EntropyHub)
-```
-```
- :ApEn
- :AttnEn
- :BubbEn
-   ⋮
- :hXMSEn
- :rMSEn
- :rXMSEn
-```
 
 ```@docs
 EntropyHub.XApEn
diff --git a/docs/src/Guide/Multiscale_Cross_Entropies.md b/docs/src/Guide/Multiscale_Cross_Entropies.md
index f4faf08..0f9eab9 100644
--- a/docs/src/Guide/Multiscale_Cross_Entropies.md
+++ b/docs/src/Guide/Multiscale_Cross_Entropies.md
@@ -1,11 +1,15 @@
+```@meta
+CollapsedDocStrings = true
+Description = "Multiscale entropy between two time series signals"
+```
 # Multiscale Cross-Entropies
 
 __*Functions for estimating the multiscale entropy between two univariate time series.*__
 
 Just as one can calculate multiscale entropy using any Base entropy, the same functionality is possible with multiscale cross-entropy using any Cross-entropy function:
-    (`XApEn`, `XSampEn`, `XK2En`, `XCondEn`, `XPermEn`, `XSpecEn`, `XDistEn`, `XFuzzEn`).
+    [`XApEn`](@ref), [`XSampEn`](@ref), [`XK2En`](@ref), [`XCondEn`](@ref), [`XPermEn`](@ref), [`XSpecEn`](@ref), [`XDistEn`](@ref), [`XFuzzEn`](@ref).
 
-To do so, we again use the `MSobject` function to pass a multiscale object (`Mobj`) to the multiscale cross-entropy functions.
+To do so, we again use the [`MSobject`](@ref) function to pass a multiscale object (`Mobj`) to the multiscale cross-entropy functions.
 
 !!! info "NOTE:"
 
@@ -13,12 +17,7 @@ To do so, we again use the `MSobject` function to pass a multiscale object (`Mob
 
     1. the first data seuqence, `Sig1` (a vector of >10 elements),
     2. the second data seuqence, `Sig2` (a vector of > 10 elements),
-    2. the multiscale entropy object, `Mobj`.
-
-
-[`EntropyHub.MSobject`](@ref)
-
-The following functions use the multiscale entropy object shown above.
+    3. the multiscale entropy object, `Mobj` -> see [`MSobject`](@ref)
 
 
 ```@docs
diff --git a/docs/src/Guide/Multiscale_Entropies.md b/docs/src/Guide/Multiscale_Entropies.md
index b4522c7..a7db819 100644
--- a/docs/src/Guide/Multiscale_Entropies.md
+++ b/docs/src/Guide/Multiscale_Entropies.md
@@ -1,27 +1,27 @@
+```@meta
+CollapsedDocStrings = true
+Description = "Multiscale entropy of single time series signals"
+```
 # Multiscale Entropies
 
-__*Functions for estimating the multiscale entropy between of a univariate time series.*__
+__*Functions for estimating the multiscale entropy  of a univariate time series.*__
 
 Multiscale entropy can be calculated using any of the Base entropies: 
-    (`ApEn`, `AttnEn`, `BubbEn`, `CondEn`, `CoSiEn`, `DistEn`, `DivEn`, 
-    `DispEn`, `EnofEn`, `FuzzEn`, `GridEn`, `IncrEn`, `K2En`,
-    `PermEn`, `PhasEn`, `RangEn`, `SampEn`, `SlopEn`, `SpecEn`, `SyDyEn`).
+    ([`ApEn`](@ref), [`AttnEn`](@ref), [`BubbEn`](@ref), [`CondEn`](@ref), [`CoSiEn`](@ref), [`DistEn`](@ref), [`DivEn`](@ref), 
+    [`DispEn`](@ref), [`EnofEn`](@ref), [`FuzzEn`](@ref), [`GridEn`](@ref), [`IncrEn`](@ref), [`K2En`](@ref),
+    [`PermEn`](@ref), [`PhasEn`](@ref), [`RangEn`](@ref), [`SampEn`](@ref), [`SlopEn`](@ref), [`SpecEn`](@ref), [`SyDyEn`](@ref)).
 
 !!! info "NOTE:"
 
     Multiscale cross-entropy functions have two positional arguments:
 
     1. the data sequence, `Sig` (a vector > 10 elements),
-    2. the multiscale entropy object, `Mobj`.
-
+    2. the multiscale entropy object, `Mobj` -> see [`MSobject`](@ref)
 
-```@docs
-EntropyHub.MSobject
-```
 
-The following functions use the multiscale entropy object shown above.
 
 ```@docs
+EntropyHub.MSobject
 EntropyHub.MSEn
 EntropyHub.cMSEn
 EntropyHub.rMSEn
diff --git a/docs/src/Guide/Multivariate_Entropies.md b/docs/src/Guide/Multivariate_Entropies.md
new file mode 100644
index 0000000..db4825a
--- /dev/null
+++ b/docs/src/Guide/Multivariate_Entropies.md
@@ -0,0 +1,18 @@
+```@meta
+CollapsedDocStrings = true
+Description = "Entropy of multivariate time series "
+```
+# Multivariate Entropies
+
+__*Functions for estimating the entropy of a multivariate time series dataset.*__
+
+`The following functions also form the multivariate entropy method used by Multivariate Multiscale functions.` -> [`MvMSEn`](@ref), [`cMvMSEn`](@ref)
+
+
+```@docs 
+EntropyHub.MvSampEn
+EntropyHub.MvFuzzEn
+EntropyHub.MvPermEn
+EntropyHub.MvDispEn
+EntropyHub.MvCoSiEn
+```
\ No newline at end of file
diff --git a/docs/src/Guide/Multivariate_Multiscale_Entropies.md b/docs/src/Guide/Multivariate_Multiscale_Entropies.md
new file mode 100644
index 0000000..52d0268
--- /dev/null
+++ b/docs/src/Guide/Multivariate_Multiscale_Entropies.md
@@ -0,0 +1,24 @@
+```@meta
+CollapsedDocStrings = true
+Description = "Multivariate multiscale entropy of multivariate time series "
+```
+# Multivariate Multiscale Entropies
+
+__*Functions for estimating the Multivariate multiscale entropy of a multivariate time series dataset.*__
+
+Just as one can calculate multiscale entropy using any Base or Cross- entropy, the same functionality is possible with multivariate multiscale entropy using any Multivariate function:
+    [`MvSampEn`](@ref), [`MvFuzzEn`](@ref), [`MvDispEn`](@ref), [`MvPermEn`](@ref), [`MvCoSiEn`](@ref).
+
+To do so, we again use the [`MSobject`](@ref) function to pass a multiscale object (`Mobj`) to the multivariate multiscale entropy functions.
+
+!!! info "NOTE:"
+
+    Multivariate multiscale entropy functions have two positional arguments:
+
+    1. the multivariate dataset, `Data` (an NxM matrix of N observations (>10 elements), and M time series (>1)),
+    2. the multiscale entropy object, `Mobj` -> see [`MSobject`](@ref)
+
+```@docs
+EntropyHub.MvMSEn
+EntropyHub.cMvMSEn
+```
\ No newline at end of file
diff --git a/docs/src/Guide/Other.md b/docs/src/Guide/Other.md
new file mode 100644
index 0000000..78e4590
--- /dev/null
+++ b/docs/src/Guide/Other.md
@@ -0,0 +1,12 @@
+```@meta
+CollapsedDocStrings = true
+```
+# Other Entropies
+
+__*Supplementary functions for various tasks related to EntropyHub and signal processing.*__
+
+```@docs 
+EntropyHub.ExampleData
+EntropyHub.WindowData
+```
+[`EntropyHub.MSobject`](@ref)
diff --git a/docs/src/assets/rcMvMSEnjl.png b/docs/src/assets/rcMvMSEnjl.png
new file mode 100644
index 0000000..49dd5d1
Binary files /dev/null and b/docs/src/assets/rcMvMSEnjl.png differ
diff --git a/docs/src/index.md b/docs/src/index.md
index 429dc7f..2da4b98 100644
--- a/docs/src/index.md
+++ b/docs/src/index.md
@@ -8,6 +8,37 @@ CurrentModule = EntropyHub
 # EntropyHub
 __*An Open-Source Toolkit For Entropic Time Series Analysis*__
 
+
+## Latest Updates
+### v2.0
+*----- New multivariate methods -----*
+
+Five new multivariate entropy functions incorporating several method-specific variations
+   + [Multivariate Sample Entropy](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.061918)       
+   + [Multivariate Fuzzy Entropy](https://www.mdpi.com/1099-4300/19/1/2) [++ many fuzzy functions]              
+   + [Multivariate Dispersion Entropy](https://www.mdpi.com/1099-4300/21/9/913) [++ many symbolic sequence transforms]         
+   + [Multivariate Cosine Similarity Entropy](https://www.mdpi.com/1099-4300/24/9/1287)               
+   + Multivariate Permutation Entropy  [++ *amplitude-aware*, *edge*, *phase*, *weighted* and *modified* variants]              
+
+*----- New multivariate multiscale methods -----*
+
+Two new multivariate multiscale entropy functions
+
+   + [Multivariate Multiscale Entropy](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.061918) [++ coarse, modified and generalized graining procedures]                
+   + [Composite and Refined-composite Multivariate Multiscale Entropy](https://link.springer.com/article/10.1007/s11517-017-1647-5)             
+
+*----- Extra signal processing tools -----*  
+
+[`WindowData()`](@ref) is a new function that allows users to segment data (univariate or multivariate time series) into windows with/without overlapping samples! This allows users to calculate entropy on subsequences of their data to perform analyses with greater time resolution.        
+
+__**Other little fixes...**__
+   
+*----- Docs edits -----*
+
+   - Examples in the www.EntropyHub.xyz documentation were updated to match the latest package syntax.    
+        
+_________________________________________________________
+
 ## Introduction
 
 This toolkit provides a wide range of functions to calculate different entropy statistics. 
@@ -88,16 +119,6 @@ __________________________________________________________________
 If you find this package useful, please consider starring it on [GitHub](https://github.com/MattWillFlood/EntropyHub.jl) 
 and Julia Packages (or MatLab File Exchange and PyPI). This helps us to gauge user satisfaction.
 
-## Function List
-
-EntropyHub functions fall into 5 categories: 
-
-* `Base`                functions for estimating the entropy of a single univariate time series.
-* `Cross`               functions for estimating the entropy between two univariate time series.
-* `Bidimensional`       functions for estimating the entropy of a two-dimensional univariate matrix.
-* `Multiscale`          functions for estimating the multiscale entropy of a single univariate time series using any of the Base entropy functions.
-* `Multiscale Cross`    functions for estimating the multiscale entropy between two univariate time series using any of the Cross-entropy functions.
-
 ## Contact
 
 For general queries and information about EntropyHub, contact: `info@entropyhub.xyz`   
@@ -116,6 +137,22 @@ __Thank you for using EntropyHub,__
 
 Matt
 
+## Function List
+
+EntropyHub functions fall into 8 categories: 
+
+* `Base`                           functions for estimating the entropy of a single univariate time series.
+* `Cross`                          functions for estimating the entropy between two univariate time series.
+* `Bidimensional`                  functions for estimating the entropy of a two-dimensional univariate matrix.
+* `Multiscale`                     functions for estimating the multiscale entropy of a single univariate time series using any of the Base entropy functions.
+* `Multiscale Cross`               functions for estimating the multiscale entropy between two univariate time series using any of the Cross-entropy functions.
+* `Multivariate Multiscale`        functions for estimating the multivariate multiscale entropy of multivariate dataset using any of the Multivariate-entropy functions.
+* `Other`                          Supplementary functions for various tasks related to EntropyHub and signal processing.
+
+
+```@index
+```
+
 
          ___  _   _  _____  _____  ____  ____  _     _          
         |  _|| \ | ||_   _||     \|    ||    || \   / |   ___________ 
@@ -133,7 +170,4 @@ Matt
 
 
 
-Documentation for [EntropyHub](https://github.com/MattWillFlood/EntropyHub.jl).
-
-```@index
-```
+Documentation for [EntropyHub](https://github.com/MattWillFlood/EntropyHub.jl).
\ No newline at end of file