Get Started with RLT

Install the RLT Package

Released Version

Install from CRAN when the released version is available:

install.packages("RLT")

Development Version

Install the development version from GitHub:

# install.packages("remotes")
remotes::install_github("teazrq/RLT")

For Windows Users

Source installation on Windows requires Rtools. Install the matching version from the Rtools page, then install RLT from CRAN or GitHub.

For macOS Users

When installing RLT on macOS, the process can be slightly trickier. It mainly consists of two steps:

Step 1: Install Compilers

Follow this guide to install the GNU Fortran compiler: gfortran-12.2-universal.pkg
If you do not already have Xcode (most systems come with Xcode installed already), you can use this line to install it:

sudo xcode-select --install

Step 2: Set Makevars to Point to the Compiler

Create the Makevars file using:

mkdir ~/.R
touch ~/.R/Makevars

Check your folder of gfortran. The compiler will be installed to /opt/gfortran folder as default.

Add these lines to point to the correct folder of the compiler. You may use open -a TextEdit ~/.R/Makevars to open a text editor and type in these lines:

FC = /opt/gfortran/bin/gfortran
F77 = /opt/gfortran/bin/gfortran
FLIBS = -L/opt/gfortran/lib

After completing these steps, you should be able to install the RLT package using remotes::install_github("teazrq/RLT") in RStudio. The compilation may require a few minutes.

OpenMP in macOS

The previous steps would not activate OpenMP parallel computing. To enable OpenMP while compiling the RLT package, follow these steps:

Step 1: Download and Install LLVM

For example, to install the 14.0.6 version (check the ones that compatible with your Xcode version), use:

curl -O https://mac.r-project.org/openmp/openmp-14.0.6-darwin20-Release.tar.gz
sudo tar fvxz openmp-14.0.6-darwin20-Release.tar.gz -C /

You should then see the following message:

usr/local/lib/libomp.dylib
usr/local/include/ompt.h
usr/local/include/omp.h
usr/local/include/omp-tools.h

Step 2: Add Flags into Makevars

The procedure is the same as we explained previously. You should add these two lines into your Makevars file:

CPPFLAGS += -Xclang -fopenmp
LDFLAGS += -lomp

After these two steps, you can then use remotes::install_github("teazrq/RLT", force = TRUE) to re-install the RLT package.

Load the RLT Package

library(RLT)

Next steps

See the Regression, Classification, and Survival tutorials to get started with modeling.

Ruoqing Zhu

Last Updated: May 18, 2026