Difference between revisions of "BwUniCluster2.0/Software/R/Glmnet"
< BwUniCluster2.0 | Software | R
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| + | = General information = |
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| + | glmnet is a R library for lasso and elastic-net regularized generalized linear models |
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= Installation instructions = |
= Installation instructions = |
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# Write the following environment variables to Makevars |
# Write the following environment variables to Makevars |
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| + | # Skip the 2nd and 3rd commands below if Makevars already consist these variables (1st command shows content of Makevars) |
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| − | echo "CXX14=icpc" >> ~/.R/Makevars |
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| + | cat ~/.R/Makevars |
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| − | echo "CXX14FLAGS=-O3 -fPIC -std=c++14 -axCORE-AVX512,CORE-AVX2,AVX -xSSE4.2 -fp-model strict -qopenmp" >> ~/.R/Makevars |
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| + | echo "CXX17=icpc" >> ~/.R/Makevars |
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| + | echo "CXX17FLAGS=-O3 -fPIC -std=c++17 -axCORE-AVX512,CORE-AVX2,AVX -xSSE4.2 -fp-model strict -qopenmp" >> ~/.R/Makevars |
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# Install the glmnet package from within R session |
# Install the glmnet package from within R session |
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Latest revision as of 10:22, 24 October 2023
1 General information
glmnet is a R library for lasso and elastic-net regularized generalized linear models
2 Installation instructions
Consider starting an interactive job for compiling. Copy and paste the following to your shell.
# Load the R software module, e.g.
module load math/R/4.1.2
# Prepare .R directory (if it does not already exists)
mkdir -p ~/.R
# Write the following environment variables to Makevars
# Skip the 2nd and 3rd commands below if Makevars already consist these variables (1st command shows content of Makevars)
cat ~/.R/Makevars
echo "CXX17=icpc" >> ~/.R/Makevars
echo "CXX17FLAGS=-O3 -fPIC -std=c++17 -axCORE-AVX512,CORE-AVX2,AVX -xSSE4.2 -fp-model strict -qopenmp" >> ~/.R/Makevars
# Install the glmnet package from within R session
R -q
> install.packages("glmnet", dependencies=TRUE)
# Run a quick test
> library(glmnet)
> data(QuickStartExample)
> x <- QuickStartExample$x
> y <- QuickStartExample$y
> fit <- glmnet(x, y)
> print(fit)
