How To Install R-randomForest on Fedora 36

In this tutorial we learn how to install R-randomForest in Fedora 36. R-randomForest is Breiman and Cutler’s Random Forests for Classification and Regression

Introduction

In this tutorial we learn how to install R-randomForest on Fedora 36.

What is `R-randomForest`

Classification and regression based on a forest of trees using random inputs, based on Breiman (2001) <DOI

We can use yum or dnf to install R-randomForest on Fedora 36. In this tutorial we discuss both methods but you only need to choose one of method to install R-randomForest.

Install R-randomForest on Fedora 36 Using dnf

Update yum database with dnf using the following command.

sudo dnf makecache --refresh

After updating yum database, We can install R-randomForest using dnf by running the following command:

sudo dnf -y install R-randomForest

Install R-randomForest on Fedora 36 Using yum

Update yum database with yum using the following command.

sudo yum makecache --refresh

After updating yum database, We can install R-randomForest using yum by running the following command:

sudo yum -y install R-randomForest

How To Uninstall R-randomForest on Fedora 36

To uninstall only the R-randomForest package we can use the following command:

sudo dnf remove R-randomForest

R-randomForest Package Contents on Fedora 36

/usr/lib/.build-id
/usr/lib/.build-id/12
/usr/lib/.build-id/12/da32993ea1f1a28199c71b7a8045605cf8201a
/usr/lib64/R/library/randomForest
/usr/lib64/R/library/randomForest/CITATION
/usr/lib64/R/library/randomForest/DESCRIPTION
/usr/lib64/R/library/randomForest/INDEX
/usr/lib64/R/library/randomForest/Meta
/usr/lib64/R/library/randomForest/Meta/Rd.rds
/usr/lib64/R/library/randomForest/Meta/data.rds
/usr/lib64/R/library/randomForest/Meta/features.rds
/usr/lib64/R/library/randomForest/Meta/hsearch.rds
/usr/lib64/R/library/randomForest/Meta/links.rds
/usr/lib64/R/library/randomForest/Meta/nsInfo.rds
/usr/lib64/R/library/randomForest/Meta/package.rds
/usr/lib64/R/library/randomForest/NAMESPACE
/usr/lib64/R/library/randomForest/NEWS
/usr/lib64/R/library/randomForest/R
/usr/lib64/R/library/randomForest/R/randomForest
/usr/lib64/R/library/randomForest/R/randomForest.rdb
/usr/lib64/R/library/randomForest/R/randomForest.rdx
/usr/lib64/R/library/randomForest/data
/usr/lib64/R/library/randomForest/data/imports85.rda
/usr/lib64/R/library/randomForest/help
/usr/lib64/R/library/randomForest/help/AnIndex
/usr/lib64/R/library/randomForest/help/MDSplot.html
/usr/lib64/R/library/randomForest/help/aliases.rds
/usr/lib64/R/library/randomForest/help/classCenter.html
/usr/lib64/R/library/randomForest/help/combine.html
/usr/lib64/R/library/randomForest/help/getTree.html
/usr/lib64/R/library/randomForest/help/grow.default.html
/usr/lib64/R/library/randomForest/help/grow.html
/usr/lib64/R/library/randomForest/help/grow.randomForest.html
/usr/lib64/R/library/randomForest/help/importance.default.html
/usr/lib64/R/library/randomForest/help/importance.html
/usr/lib64/R/library/randomForest/help/importance.randomForest.html
/usr/lib64/R/library/randomForest/help/imports85.html
/usr/lib64/R/library/randomForest/help/margin.default.html
/usr/lib64/R/library/randomForest/help/margin.html
/usr/lib64/R/library/randomForest/help/margin.randomForest.html
/usr/lib64/R/library/randomForest/help/na.roughfix.data.frame.html
/usr/lib64/R/library/randomForest/help/na.roughfix.default.html
/usr/lib64/R/library/randomForest/help/na.roughfix.html
/usr/lib64/R/library/randomForest/help/outlier.default.html
/usr/lib64/R/library/randomForest/help/outlier.html
/usr/lib64/R/library/randomForest/help/outlier.randomForest.html
/usr/lib64/R/library/randomForest/help/partialPlot.default.html
/usr/lib64/R/library/randomForest/help/partialPlot.html
/usr/lib64/R/library/randomForest/help/partialPlot.randomForest.html
/usr/lib64/R/library/randomForest/help/paths.rds
/usr/lib64/R/library/randomForest/help/plot.margin.html
/usr/lib64/R/library/randomForest/help/plot.randomForest.html
/usr/lib64/R/library/randomForest/help/predict.randomForest.html
/usr/lib64/R/library/randomForest/help/print.randomForest.html
/usr/lib64/R/library/randomForest/help/randomForest.default.html
/usr/lib64/R/library/randomForest/help/randomForest.formula.html
/usr/lib64/R/library/randomForest/help/randomForest.html
/usr/lib64/R/library/randomForest/help/randomForest.rdb
/usr/lib64/R/library/randomForest/help/randomForest.rdx
/usr/lib64/R/library/randomForest/help/rfImpute.default.html
/usr/lib64/R/library/randomForest/help/rfImpute.formula.html
/usr/lib64/R/library/randomForest/help/rfImpute.html
/usr/lib64/R/library/randomForest/help/rfNews.html
/usr/lib64/R/library/randomForest/help/rfcv.html
/usr/lib64/R/library/randomForest/help/treesize.html
/usr/lib64/R/library/randomForest/help/tuneRF.html
/usr/lib64/R/library/randomForest/help/varImpPlot.html
/usr/lib64/R/library/randomForest/help/varUsed.html
/usr/lib64/R/library/randomForest/html
/usr/lib64/R/library/randomForest/html/00Index.html
/usr/lib64/R/library/randomForest/html/MDSplot.html
/usr/lib64/R/library/randomForest/html/R.css
/usr/lib64/R/library/randomForest/html/classCenter.html
/usr/lib64/R/library/randomForest/html/combine.html
/usr/lib64/R/library/randomForest/html/getTree.html
/usr/lib64/R/library/randomForest/html/grow.html
/usr/lib64/R/library/randomForest/html/importance.html
/usr/lib64/R/library/randomForest/html/imports85.html
/usr/lib64/R/library/randomForest/html/margin.html
/usr/lib64/R/library/randomForest/html/na.roughfix.html
/usr/lib64/R/library/randomForest/html/outlier.html
/usr/lib64/R/library/randomForest/html/partialPlot.html
/usr/lib64/R/library/randomForest/html/plot.randomForest.html
/usr/lib64/R/library/randomForest/html/predict.randomForest.html
/usr/lib64/R/library/randomForest/html/randomForest.html
/usr/lib64/R/library/randomForest/html/rfImpute.html
/usr/lib64/R/library/randomForest/html/rfNews.html
/usr/lib64/R/library/randomForest/html/rfcv.html
/usr/lib64/R/library/randomForest/html/treesize.html
/usr/lib64/R/library/randomForest/html/tuneRF.html
/usr/lib64/R/library/randomForest/html/varImpPlot.html
/usr/lib64/R/library/randomForest/html/varUsed.html
/usr/lib64/R/library/randomForest/libs
/usr/lib64/R/library/randomForest/libs/randomForest.so

References

R-randomForest website

Summary

In this tutorial we learn how to install R-randomForest on Fedora 36 using yum and [dnf]((/fedora/36/dnf/).