BwUniCluster2.0/Software/R/Rstan: Difference between revisions
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# Install V8 and Rstan packages from within R session |
# Install V8 and Rstan packages from within R session |
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R -q |
R -q |
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install.packages(c("V8","rstan")) |
> install.packages(c("V8","rstan")) |
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# Test your installation |
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> example(stan_model, package = "rstan", run.dontrun = TRUE) |
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</pre> |
</pre> |
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Revision as of 16:58, 21 April 2021
Installation instructions
Consider starting an interactive job for compiling. Copy and paste the following to your shell.
Note: Rstan depends on the V8 R package.
# Load the R software module, e.g. module load math/R/3.6.3 # Prepare .R directory (if it does not already exists) mkdir -p ~/.R # Write the following environment variables to Makevars echo "CXX14=icpc" >> ~/.R/Makevars echo "CXX14FLAGS=-O3 -fPIC -std=c++14 -axCORE-AVX512,CORE-AVX2,AVX -xSSE4.2 -fp-model strict -qopenmp" >> ~/.R/Makevars # Set up environment for V8 export DOWNLOAD_STATIC_LIBV8=1 # Install V8 and Rstan packages from within R session R -q > install.packages(c("V8","rstan")) # Test your installation > example(stan_model, package = "rstan", run.dontrun = TRUE)
Additional information can be found at: https://github.com/stan-dev/rstan/wiki/Configuring-C-Toolchain-for-Linux