BwUniCluster2.0/Software/R/Rjags: Difference between revisions

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#Load R module
#Load R module
module load math/R/4.1.2
module load math/R/4.1.2



# Set up JAGS installation directory
# Set up JAGS installation directory
export JAGS_HOME=$HOME/sw/jags



export JAGS_HOME=$HOME/sw/jags


# Prepare JAGS source directory (if not yet existing)
# Prepare JAGS source directory (if not yet existing)

mkdir -p ~/src
mkdir -p ~/src
cd ~/src
cd ~/src
Line 25: Line 24:


# Get JAGS source
# Get JAGS source

wget https://sourceforge.net/projects/mcmc-jags/files/JAGS/4.x/Source/JAGS-4.3.1.tar.gz
wget https://sourceforge.net/projects/mcmc-jags/files/JAGS/4.x/Source/JAGS-4.3.1.tar.gz
tar xf JAGS-4.3.1.tar.gz
tar xf JAGS-4.3.1.tar.gz
cd JAGS-4.3.1
cd JAGS-4.3.1
rm JAGS-4.3.1.tar.gz
rm JAGS-4.3.1.tar.gz






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export PKG_CONFIG_PATH=$JAGS_HOME/lib/pkgconfig
export PKG_CONFIG_PATH=$JAGS_HOME/lib/pkgconfig
export LD_RUN_PATH=$JAGS_HOME/lib
export LD_RUN_PATH=$JAGS_HOME/lib





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> install.packages("rjags", configure.args="--enable-rpath")
> install.packages("rjags", configure.args="--enable-rpath")
> library(rjags)
> library(rjags)




----
----

Revision as of 12:06, 23 June 2022

General information

rjags is a R interface to use JAGS, Just another Gibbs Sampler. JAGS is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation

rjags needs a JAGS installation on the side. We recommend to compile via Intel compiler and with the Intel MKL library (Intel Math Kernel Library), which allows JAGS to use various efficient implementations of mathematical computations. These are, as of now, loaded alongside with the module R 4.1.2.


Installation

#Load R module
module load math/R/4.1.2


# Set up JAGS installation directory 
export JAGS_HOME=$HOME/sw/jags


# Prepare JAGS source directory (if not yet existing) 
mkdir -p ~/src
cd ~/src


# Get JAGS source
wget https://sourceforge.net/projects/mcmc-jags/files/JAGS/4.x/Source/JAGS-4.3.1.tar.gz
tar xf JAGS-4.3.1.tar.gz
cd JAGS-4.3.1
rm JAGS-4.3.1.tar.gz


# Install JAGS 
export CFLAGS="-O3 -axCORE-AVX512,CORE-AVX2,AVX -xSSE4.2 -fp-model strict -qopenmp"
export CXXFLAGS="-O3  -std=c++14 -axCORE-AVX512,CORE-AVX2,AVX -xSSE4.2 -fp-model strict -qopenmp"
./configure  --prefix=$JAGS_HOME --with-blas="-lmkl_rt -lpthread -lm"
make
make install
cd


# Set up environment
export PKG_CONFIG_PATH=$JAGS_HOME/lib/pkgconfig
export LD_RUN_PATH=$JAGS_HOME/lib


# Install rjags package from within R session
R -q
> install.packages("rjags", configure.args="--enable-rpath")
> library(rjags)