Package: CGEN 3.49.0
CGEN: An R package for analysis of case-control studies in genetic epidemiology
This is a package for analysis of case-control data in genetic epidemiology. It provides a set of statistical methods for evaluating gene-environment (or gene-genes) interactions under multiplicative and additive risk models, with or without assuming gene-environment (or gene-gene) independence in the underlying population.
Authors:
CGEN_3.49.0.tar.gz
CGEN_3.49.0.zip(r-4.7)CGEN_3.49.0.zip(r-4.6)CGEN_3.49.0.zip(r-4.5)
CGEN_3.49.0.tgz(r-4.6-x86_64)CGEN_3.49.0.tgz(r-4.6-arm64)CGEN_3.49.0.tgz(r-4.5-x86_64)
CGEN_3.49.0.tar.gz(r-4.7-arm64)CGEN_3.49.0.tar.gz(r-4.7-x86_64)CGEN_3.49.0.tar.gz(r-4.6-arm64)CGEN_3.49.0.tar.gz(r-4.6-x86_64)
CGEN_3.49.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CGEN/json (API)
NEWS
| # Install 'CGEN' in R: |
| install.packages('CGEN', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- LocusMapData - Locus map data
- Xdata - Sample covariate and outcome data
- Xdata2 - Sample covariate and outcome data
On BioConductor:CGEN-3.49.0(bioc 3.24)CGEN-3.48.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
snpmultiplecomparisonclustering
Last updated from:123525ac5c. Checks:11 WARNING, 2 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 133 | ||
| linux-devel-arm64 | WARNING | 202 | ||
| linux-devel-x86_64 | WARNING | 221 | ||
| source / vignettes | OK | 185 | ||
| linux-release-arm64 | WARNING | 200 | ||
| linux-release-x86_64 | WARNING | 250 | ||
| macos-release-arm64 | WARNING | 176 | ||
| macos-release-x86_64 | WARNING | 667 | ||
| macos-oldrel-arm64 | FAIL | 71 | ||
| macos-oldrel-x86_64 | WARNING | 413 | ||
| windows-devel | WARNING | 185 | ||
| windows-release | WARNING | 221 | ||
| windows-oldrel | WARNING | 188 | ||
| wasm-release | OK | 92 |
Exports:additive.testgetMatchedSetsgetSummarygetWaldTestGxE.scanGxE.scan.combineGxE.scan.partitionManhattan.plotprintEffectsQQ.plotsnp.effectssnp.effects.plotsnp.logisticsnp.matchedsnp.score
