updated NEWS and README

brandmaier · Mar 26, 2024 · f439b98 · f439b98
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diff --git a/NEWS.md b/NEWS.md
@@ -2,6 +2,9 @@
 
 - added an error handler for score-based tests when the vcov matrix cannot be computed (e.g., models with Heywood cases)
 - leaner package imports: removed dependency on bitops and stringr package
+- prefer `semforest_control()` over `semforest.control()`
+- added heuristics for choosing `mtry` in forests (if `NULL`) and for choosing `min.N` and `min.bucket` (if `NULL`)
+- moved dependency on ctsemOMX to suggested package
 
 # semtree 0.9.19 (2023)
 

diff --git a/README.Rmd b/README.Rmd
@@ -38,7 +38,7 @@ install.packages("semtree")
 To install the latest semtree package directly from GitHub, copy the following line into R:
 ```{r, eval=FALSE}
 library(devtools)
-devtools::install_github("semtree/brandmaier")
+devtools::install_github("brandmaier/semtree")
 
 # even better: install with package vignette (extra documentation)
 devtools::install_github("brandmaier/semtree",force=TRUE, build_opts = c())
@@ -48,8 +48,6 @@ devtools::install_github("brandmaier/semtree",force=TRUE, build_opts = c())
 
 Package documentation and use-cases with runnable R code can be found on our github pages: [https://brandmaier.github.io/semtree/](https://brandmaier.github.io/semtree/).
 
-You may also want to visit the semtree website: [https://brandmaier.de/semtree](https://brandmaier.de/semtree)
-
 Package vignettes (shipped with the package) contain documentation on how to use the package. Simply type this in R once you have loaded the package:
 
 ```{r eval=FALSE}

diff --git a/README.md b/README.md
@@ -39,7 +39,7 @@ To install the latest semtree package directly from GitHub, copy the
 following line into R:
 
     library(devtools)
-    devtools::install_github("semtree/brandmaier")
+    devtools::install_github("brandmaier/semtree")
 
     # even better: install with package vignette (extra documentation)
     devtools::install_github("brandmaier/semtree",force=TRUE, build_opts = c())
@@ -49,9 +49,6 @@ following line into R:
 Package documentation and use-cases with runnable R code can be found on
 our github pages: <https://brandmaier.github.io/semtree/>.
 
-You may also want to visit the semtree website:
-<https://brandmaier.de/semtree>
-
 Package vignettes (shipped with the package) contain documentation on
 how to use the package. Simply type this in R once you have loaded the
 package: