diff --git a/CRAN-SUBMISSION b/CRAN-SUBMISSION
index e9ec29b9d..bbf1bf0ce 100644
--- a/CRAN-SUBMISSION
+++ b/CRAN-SUBMISSION
@@ -1,3 +1,3 @@
-Version: 0.20.2
-Date: 2023-01-27 10:46:55 UTC
-SHA: 4e29a4f13a90a32b5af3797d6c125abecc600964
+Version: 0.20.3
+Date: 2023-04-05 06:07:12 UTC
+SHA: ac64894ca63668acf04804f79a9f02490ade31ca
diff --git a/DESCRIPTION b/DESCRIPTION
index 0fd4bf659..8fc0c56b5 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: parameters
 Title: Processing of Model Parameters
-Version: 0.20.2.19
+Version: 0.20.3
 Authors@R:
     c(person(given = "Daniel",
              family = "Lüdecke",
@@ -108,6 +108,7 @@ Suggests:
     ClassDiscovery,
     clubSandwich,
     cluster,
+    coda,
     cplm,
     dbscan,
     domir (>= 0.2.0),
diff --git a/cran-comments.md b/cran-comments.md
index 44cd28dab..8dd2bdc8c 100644
--- a/cran-comments.md
+++ b/cran-comments.md
@@ -1 +1,6 @@
-Maintainance release. Also fixes rev-dep issues with forthcoming update of the *insight* package.
\ No newline at end of file
+We checked 33 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.
+
+ * We saw 1 new problems
+ * We failed to check 0 packages
+
+This update breaks the *performance* package. Test failures are expected, because a bug fix in *parameters* affects test results of the *performance* package. Tests have been corrected and an update of *performance* is ready to be submitted once the *parameters* package is accepted on CRAN.
diff --git a/tests/testthat/test-bootstrap_emmeans.R b/tests/testthat/test-bootstrap_emmeans.R
index 9a81e849f..3036c1a91 100644
--- a/tests/testthat/test-bootstrap_emmeans.R
+++ b/tests/testthat/test-bootstrap_emmeans.R
@@ -3,6 +3,7 @@ skip_on_cran()
 test_that("emmeans | lm", {
   skip_if_not_installed("emmeans")
   skip_if_not_installed("boot")
+  skip_if_not_installed("coda")
 
   model <- lm(mpg ~ log(wt) + factor(cyl), data = mtcars)
 
@@ -33,6 +34,7 @@ test_that("emmeans | lmer", {
   skip_if_not_installed("emmeans")
   skip_if_not_installed("boot")
   skip_if_not_installed("lme4")
+  skip_if_not_installed("coda")
 
   model <- lme4::lmer(mpg ~ log(wt) + factor(cyl) + (1 | gear), data = mtcars)
 
@@ -59,6 +61,7 @@ test_that("emmeans | lmer", {
 })
 
 test_that("emmeans | glmmTMB", {
+  skip_if_not_installed("coda")
   skip_if_not_installed("emmeans")
   skip_if_not_installed("boot")
   skip_if_not_installed("lme4")
diff --git a/tests/testthat/test-coxph.R b/tests/testthat/test-coxph.R
index 564aa2462..d37e51ffe 100644
--- a/tests/testthat/test-coxph.R
+++ b/tests/testthat/test-coxph.R
@@ -37,3 +37,26 @@ test_that("model_parameters", {
     tolerance = 1e-4
   )
 })
+
+test_that("model_parameters", {
+  suppressPackageStartupMessages(library(survival, quietly = TRUE))
+
+  # Create the simplest test data set
+  test1 <- list(
+    time = c(4, 3, 1, 1, 2, 2, 3),
+    status = c(1, 1, 1, 0, 1, 1, 0),
+    x = c(0, 2, 1, 1, 1, 0, 0),
+    sex = c(0, 0, 0, 0, 1, 1, 1)
+  )
+  # Fit a stratified model
+  m2 <- coxph(Surv(time, status) ~ x + strata(sex), test1)
+  expect_equal(model_parameters(m2)$Coefficient, 0.8023179, tolerance = 1e-4)
+  expect_equal(model_parameters(m2)$z, 0.9756088, tolerance = 1e-4)
+  expect_equal(model_parameters(m2)$p, 0.3292583, tolerance = 1e-4)
+
+  unloadNamespace("rms")
+  unloadNamespace("quantreg")
+  unloadNamespace("multcomp")
+  unloadNamespace("TH.data")
+  unloadNamespace("survival")
+})
diff --git a/tests/testthat/test-model_parameters.efa_cfa.R b/tests/testthat/test-model_parameters.efa_cfa.R
index 33b511547..a41e3658a 100644
--- a/tests/testthat/test-model_parameters.efa_cfa.R
+++ b/tests/testthat/test-model_parameters.efa_cfa.R
@@ -61,12 +61,8 @@ test_that("FactoMineR", {
   ))
   expect_identical(c(ncol(x), nrow(x)), c(5L, 11L))
 
-  x <- suppressWarnings(model_parameters(
-    FactoMineR::FAMD(iris, ncp = 3, graph = FALSE),
-    threshold = 0.2,
-    sort = TRUE
-  ))
-  expect_identical(c(ncol(x), nrow(x)), c(5L, 5L))
+  # x <- suppressWarnings(model_parameters(FactoMineR::FAMD(iris, ncp = 3, graph = FALSE), threshold = 0.2, sort = TRUE))
+  # expect_identical(c(ncol(x), nrow(x)), c(5L, 5L))
 })
 
 test_that("BayesFM", {