effectsArray2list: effectsArray2list
In wolfemd/predCrossVar: Prediction of family genomic variances and covariances

Description Usage Arguments Value Examples

Converts an array of posterior samples of multi-trait marker effects to a named list (one for each trait).

1	effectsArray2list(effectsArray, snpIDs, traits, nIter, burnIn, thin)

`effectsArray`	According to BGLR documentation: 3D array, with dim=c(nRow,p,traits), where nRow number of MCMC samples saved, p is the number of predictors and traits is the number of traits. BGLR::Multitrait() writes a binary file to disk when saveEffects=TRUE is specified. It can be read to R with BGLR::readBinMatMultitrait().
`snpIDs`	character vector with labels for the predictors (SNPs), numeric should work too, but untested.
`traits`	character vector to label the traits.
`nIter`	number of iterations used for MCMC; used internally only to exclude burn-in samples from computation
`burnIn`	burnIn for MCMC; used internally only to exclude burn-in samples from computation
`thin`	thin for MCMC; used internally only to exclude burn-in samples from computation

list of matrices, one matrix per trait, each matrix has 'nrow((nIter-burnIn)/thin)' and 'ncol(length(snpIDs))'. Each element of the list is named with a string identifying the trait and the colnames of each matrix are labelled with snpIDs.

1 2	effectsArray<-BGLR::readBinMatMultitrait(filename = "mt_effects_ETA_g_beta.bin") effectsArray<-effectsArray2list(effectsArray, snpIDs, traits, nIter, burnIn, thin)