I just updated the code from a previous post where I analysed the download statistics of different random forest packages in R, see the code at the bottom of the article. I calculated the number of cran downloads in march 2016 and march 2017.
Standard random forest
The number of download of different packages containing the random forest algorithm in march 2016 and in march 2017:
|package||–march 2016||–march 2017||–ratio of 2017/2016|
What is clearly visible is the general increase in downloads of all packages that contain the standard random forest. The biggest gain in popularity could achieve the ranger package that allows to run the random forest in parallel on a simple machine. xgboost and randomForestSRC got a bigger increase than the standard randomForest package.