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DESCRIPTION

@@ -1,6 +1,6 @@
 Package: heemod
 Title: Markov Models for Health Economic Evaluations
-Version: 0.16.0.9001
+Version: 1.0.0
 Authors@R: c(
     person("Kevin", "Zarca", email = "kevin.zarca@gmail.com", role = c("aut", "cre")),
     person("Antoine", "Filipovic-Pierucci", role = "aut"),

NEWS.md

@@ -1,21 +1,21 @@
-# Changelog
-
-## heemod 0.16.9000
-### Breaking changes
- * dplyr's pipe now causes an error when chaining survival operation. The new pipe
-is required in this situation.
- * `define_survival()` has been renamed `define_surv_dist()` for naming consistency
- * It is now necessary to use `define_surv_fit()` to specify a survival fit created
- with `survfit()`, `flexsurvreg()` or `flexsurvspline()`
-
-### New Features
- * It is now possible to run probabilistic sensitivity analysis (PSA) with survival
- objects - either created from a parametric distribution (with `define_surv_dist`)
- or with real data fitted with `survfit()` or `flexsurvreg()`. 
- See `vignette("j-survival_2_psa")`
- * `plot.surv_object()` gains `psa` argument allowing to plot the distribution to
- check for its variability.
- * Created method `c.uneval_parameters()` to combine outputs of `define_parameters()`.
+# # Changelog
+# 
+# ## heemod 1.0.0
+# ### Breaking changes
+#  * dplyr's pipe now causes an error when chaining survival operation. The new pipe |>
+# is required in this situation.
+#  * `define_survival()` has been renamed `define_surv_dist()` for naming consistency
+#  * It is now necessary to use `define_surv_fit()` to specify a survival fit created
+#  with `survfit()`, `flexsurvreg()` or `flexsurvspline()`
+#  
+# ### New Features
+#  * It is now possible to run probabilistic sensitivity analysis (PSA) with survival
+#  objects - either created from a parametric distribution (with `define_surv_dist`)
+#  or with real data fitted with `survfit()` or `flexsurvreg()`. 
+#  See `vignette("j-survival_2_psa")`
+#  * `plot.surv_object()` gains `psa` argument allowing to plot the distribution to
+#  check for its variability.
+#  * Created method `c.uneval_parameters()` to combine outputs of `define_parameters()`.
 
 ### Other changes
  * All operation functions on survival objects are now of class `surv_object`
@@ -281,7 +281,7 @@ Package heemod.” _ArXiv e-prints_. R package version
   * Correctly identify efficiency frontier.
   * ICER are computed on the efficiency frontier.
 
-### Acknowledments
+### Acknowledgments
 
   * Thanks to [Matthew Wiener](https://github.com/MattWiener), [Zdenek Kabat](https://github.com/zkabat) and [Vojtech Filipec](https://github.com/vojtech-filipec) for their great contributions to this update.
 
@@ -345,7 +345,7 @@ Package heemod.” _ArXiv e-prints_. R package version
 
   * `eval_model_newdata()`, the function behind re-sampling and sensitivity analysis now returns list-variables.
 
-### Acknowledments
+### Acknowledgments
 
   * Thanks to [Matthew Wiener](https://github.com/MattWiener), [Zdenek Kabat](https://github.com/zkabat) and [Vojtech Filipec](https://github.com/vojtech-filipec) for their great contributions to this update.
 

cran-comments.md

@@ -1,5 +1,5 @@
 ## Test environments
-* local ubuntu 22.04 install, R 4.3.1
+* local ubuntu 22.04 install, R 4.3.2
 * github actions
 
 ## R CMD check results