Prepare version for release

Author: mikolajsp

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: survex
 Title: Explainable Machine Learning in Survival Analysis
-Version: 1.1.3.9002
+Version: 1.2.0
 Authors@R: 
     c(
         person("Mikołaj", "Spytek", email = "[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7111-2286")),
@@ -26,7 +26,6 @@ Imports:
     DALEX (>= 2.2.1),
     ggplot2 (>= 3.4.0),
     kernelshap,
-    treeshap,
     pec,
     survival,
     patchwork
@@ -48,6 +47,7 @@ Suggests:
     rmarkdown,
     rms,
     testthat (>= 3.0.0),
+    treeshap (>= 0.3.0),
     withr,
     xgboost
 Config/testthat/edition: 3

NEWS.md

@@ -1,6 +1,6 @@
-# survex (development version)
-* added new `calculation_method` for `surv_shap()` called `"treeshap"` that use `treeshap` package  ([#75](https://github.com/ModelOriented/survex/issues/75))
-* enable to calculate SurvSHAP(t) explanations based on subsample of explainer's data
+# survex 1.2.0
+* added new `calculation_method` for `surv_shap()` called `"treeshap"` that uses the `treeshap` package  ([#75](https://github.com/ModelOriented/survex/issues/75))
+* enable to calculate SurvSHAP(t) explanations based on subsample of the explainer's data
 * changed default kernel width in SurvLIME from sqrt(p * 0.75) to sqrt(p) * 0.75 
 * fixed error in SurvLIME when non-factor `categorical_variables` were provided