Package: BG2 1.7.0
Jacob Williams
BG2: Performs Bayesian GWAS analysis for non-Gaussian data using BG2
This package is built to perform GWAS analysis for non-Gaussian data using BG2. The BG2 method uses penalized quasi-likelihood along with nonlocal priors in a two step manner to identify SNPs in GWAS analysis. The research related to this package was supported in part by National Science Foundation awards DMS 1853549 and DMS 2054173.
Authors:
BG2_1.7.0.tar.gz
BG2_1.7.0.zip(r-4.5)BG2_1.7.0.zip(r-4.4)BG2_1.7.0.zip(r-4.3)
BG2_1.7.0.tgz(r-4.4-any)BG2_1.7.0.tgz(r-4.3-any)
BG2_1.7.0.tar.gz(r-4.5-noble)BG2_1.7.0.tar.gz(r-4.4-noble)
BG2_1.7.0.tgz(r-4.4-emscripten)BG2_1.7.0.tgz(r-4.3-emscripten)
BG2.pdf |BG2.html✨
BG2/json (API)
| # Install 'BG2' in R: |
| install.packages('BG2', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:BG2-1.7.0(bioc 3.21)BG2-1.6.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
bayesianassaydomainsnpgenomewideassociation
Last updated 23 days agofrom:edfff8cf31. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:BG2
Dependencies:cachemcaretclasscliclockcodetoolscolorspacecpp11crayondata.tablediagramdigestdplyre1071fansifarverfastmapforeachfuturefuture.applyGAgenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppArmadillorecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
