bWGR: Bagging Whole-Genome Regression
Version 1.4

Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, with optional sampling techniques and kernel term.

AuthorAlencar Xavier, William Muir, Shizhong Xu, Katy Rainey.
Date of publication2017-03-22 06:13:10 UTC
MaintainerAlencar Xavier <alenxav@gmail.com>
LicenseGPL-3
Version1.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bWGR")

Popular man pages

bWGR: Bagging Whole-Genome Regression
em: Expectation-Maximization WGR
mkr: Multivariate Kernel Regression
tpod: Tetra-seed Pods
wgr: Whole-genome Regression
See all...

All man pages Function index File listing

Man pages

bWGR: Bagging Whole-Genome Regression
em: Expectation-Maximization WGR
mkr: Multivariate Kernel Regression
tpod: Tetra-seed Pods
wgr: Whole-genome Regression

Functions

.Random.seed Man page
GSEN Man page
Hmat Man page Source code
KMUP Man page Source code
KMUP2 Man page Source code
bWGR Man page
bWGR-package Man page
chr Man page
emBA Man page Source code
emBB Man page Source code
emBC Man page Source code
emBL Man page Source code
emDE Man page Source code
emEN Man page Source code
emRR Man page Source code
fam Man page
gen Man page
mkr Man page Source code
tpod Man page
wgr Man page Source code
y Man page

Files

inst
inst/CITATION
src
src/Functions.cpp
src/RegisteringDynamic.c
src/RcppExports.cpp
NAMESPACE
data
data/tpod.RData
R
R/wgr.R
R/mkr.R
R/RcppExports.R
MD5
DESCRIPTION
man
man/em.Rd
man/wgr.Rd
man/mkr.Rd
man/tpod.Rd
man/bWGR.Rd
bWGR documentation built on May 19, 2017, 2:36 p.m.

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