bWGR: Bagging Whole-Genome Regression

Designed for whole-genome regressions using Bayesian models fitted via EM or Gibbs sampling with optional resampling techniques (Bagging) and polygenic term with reduced dimensionality.

AuthorAlencar Xavier, William Muir, Katy Rainey.
Date of publication2016-09-21 14:48:31
MaintainerAlencar Xavier <alenxav@gmail.com>
LicenseGPL-3
Version1.3.2

View on CRAN

Files

bWGR
bWGR/inst
bWGR/inst/CITATION
bWGR/inst/doc
bWGR/inst/doc/PAG2016.pdf
bWGR/src
bWGR/src/emBB.cpp
bWGR/src/emBA.cpp
bWGR/src/emRR.cpp
bWGR/src/emBC.cpp
bWGR/src/GSEN.cpp
bWGR/src/KMUP.cpp
bWGR/src/KMUP2.cpp
bWGR/src/RcppExports.cpp
bWGR/NAMESPACE
bWGR/data
bWGR/data/tpod.RData
bWGR/R
bWGR/R/ben.R bWGR/R/wgr.R bWGR/R/mkr.R bWGR/R/RcppExports.R
bWGR/MD5
bWGR/DESCRIPTION
bWGR/man
bWGR/man/em.Rd bWGR/man/wgr.Rd bWGR/man/mkr.Rd bWGR/man/tpod.Rd bWGR/man/bWGR.Rd bWGR/man/ben.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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