Package: bWGR 2.2.11
bWGR: Bayesian Whole-Genome Regression
Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Authors:
bWGR_2.2.11.tar.gz
bWGR_2.2.11.zip(r-4.5)bWGR_2.2.11.zip(r-4.4)bWGR_2.2.11.zip(r-4.3)
bWGR_2.2.11.tgz(r-4.4-x86_64)bWGR_2.2.11.tgz(r-4.4-arm64)bWGR_2.2.11.tgz(r-4.3-x86_64)bWGR_2.2.11.tgz(r-4.3-arm64)
bWGR_2.2.11.tar.gz(r-4.5-noble)bWGR_2.2.11.tar.gz(r-4.4-noble)
bWGR_2.2.11.tgz(r-4.4-emscripten)bWGR_2.2.11.tgz(r-4.3-emscripten)
bWGR.pdf |bWGR.html✨
bWGR/json (API)
# Install 'bWGR' in R: |
install.packages('bWGR', repos = c('https://alenxav.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alenxav/bwgr/issues
Last updated 7 days agofrom:461cd8085e. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win-x86_64 | OK | Oct 30 2024 |
R-4.5-linux-x86_64 | OK | Oct 30 2024 |
R-4.4-win-x86_64 | OK | Oct 30 2024 |
R-4.4-mac-x86_64 | OK | Oct 30 2024 |
R-4.4-mac-aarch64 | OK | Oct 30 2024 |
R-4.3-win-x86_64 | OK | Oct 30 2024 |
R-4.3-mac-x86_64 | OK | Oct 30 2024 |
R-4.3-mac-aarch64 | OK | Oct 30 2024 |
Exports:AccByCBayesABayesA2BayesBBayesB2BayesCBayesCpiBayesDpiBayesLBayesRRBayesRR2CNTEigenAccEigenARCEigenArcZEigenBDCSVDEigenCNTEigenEVDEigenGAUEigenGauZEigenGRMEigenJacobiSVDemBAemBBemBCemBCpiemBLemCVemDEemENemGWAemMLemML2emRRFUVBETAGAUGRMGS2EIGENGSEMGSFLMGSRRHmatIMPK2XKMUPKMUP2lassomarkovmcmcCVMEGAmixedmkrmkr2XMLMmmmrrmrr_floatmrr_svdmrr2XMRR3MRR3FmtgsrumtmixedMvSimYNNSNNSEARCHpredict_FLMSSSEMSibZSimGCSimYSimZsolver1xsolver1xFsolver2xsolver2xFSPCSPMUVBETAwgrXFUVBETAXSEMFYSEMFZFUVBETAZSEMF
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bayesian Whole-Genome Regression | bWGR-package bWGR |
Tetra-seed Pods | chr fam gen tpod y |
MCMC Whole-genome Regression | BayesA BayesA2 BayesB BayesB2 BayesC BayesCpi BayesDpi BayesL BayesRR BayesRR2 GSEN KMUP KMUP2 mcmcCV wgr |
Expectation-Maximization WGR | emBA emBB emBC emBCpi emBL emCV emDE emEN emML emML2 emRR lasso |
Multivariate Regression | FUVBETA GSEM MEGA mkr mkr2X MLM mrr mrr2X MRR3 MRR3F mrr_float mrr_svd SEM solver1x solver1xF solver2x solver2xF UVBETA XFUVBETA XSEMF YSEMF ZFUVBETA ZSEMF |
Mixed model solver | GS2EIGEN GSFLM GSRR mixed mm mtgsru mtmixed NNS NNSEARCH predict_FLMSS |
Additional tools | AccByC CNT EigenAcc EigenARC EigenArcZ EigenBDCSVD EigenCNT EigenEVD EigenGAU EigenGauZ EigenGRM EigenJacobiSVD emGWA GAU GRM Hmat IMP K2X markov MvSimY SibZ SimGC SimY SimZ SPC SPM |