Parallelized Genomic Prediction and GWAS


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Documentation for package ‘cpgen’ version 0.1

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cpgen-package cpgen - Parallel genomic evaluations
%**% Square matrix power operator
%c% (Parallel) Matrix product operator
ccolmv Colwise means or variances
ccov ccov
ccross ccross
cCV Generate phenotype vectors for cross validation
cGBLUP Genomic BLUP
cgrm Genomic Relationship Matrices
cgrm.A Additive Genomic Relationship Matrix
cgrm.D Dominance Genomic Relationship Matrix
cGWAS Genomewide Association Study
cGWAS.emmax Genomewide Association Study - EMMAX
check_openmp Check OpenMP-support.
clmm Linear Mixed Models using Gibbs Sampling
cmaf cmaf
cpgen-parallel Multithreading using 'cpgen'
cscale_inplace cscale_inplace
cscanx Read in a matrix from a file
csolve csolve
cSSBR Single Step Bayesian Regression
cSSBR.setup Preparing Model terms for Single Step Bayesian Regression
get_cor Compute the prediction accuracy from Cross Validition
get_max_threads Get the maximum number of threads available
get_num_threads Get the number of threads for 'cpgen'
get_pred Extract predictions vectors of an object returned by 'clmm' using multpile phenotypes
rand_data Generate random data for test purposes
set_num_threads Set the number of OpenMP threads used by the functions of package 'cpgen'