Package: gcatest 2.13.0
gcatest: Genotype Conditional Association TEST
GCAT is an association test for genome wide association studies that controls for population structure under a general class of trait models. This test conditions on the trait, which makes it immune to confounding by unmodeled environmental factors. Population structure is modeled via logistic factors, which are estimated using the `lfa` package.
Authors:
gcatest_2.13.0.tar.gz
gcatest_2.13.0.zip(r-4.7)gcatest_2.13.0.zip(r-4.6)gcatest_2.13.0.zip(r-4.5)
gcatest_2.13.0.tgz(r-4.6-any)gcatest_2.13.0.tgz(r-4.5-any)
gcatest_2.13.0.tar.gz(r-4.7-any)gcatest_2.13.0.tar.gz(r-4.6-any)
gcatest_2.13.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gcatest/json (API)
NEWS
| # Install 'gcatest' in R: |
| install.packages('gcatest', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/storeylab/gcatest/issues
On BioConductor:gcatest-2.13.0(bioc 3.24)gcatest-2.12.0(bioc 3.23)
snpdimensionreductionprincipalcomponentgenomewideassociation
Last updated from:d5181b61f0. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 153 | ||
| linux-devel-x86_64 | OK | 232 | ||
| source / vignettes | OK | 196 | ||
| linux-release-x86_64 | OK | 190 | ||
| macos-release-arm64 | OK | 113 | ||
| macos-oldrel-arm64 | OK | 86 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 139 | ||
| windows-oldrel | OK | 121 | ||
| wasm-release | OK | 130 |
Exports:delta_deviance_lfgcatgcat.statgcatest
Dependencies:BEDMatrixbitbit64clicliprcorpcorcpp11crayoncrochetdplyrgenericsgeniogluehmslatticelfalifecyclemagrittrMatrixpillarpkgconfigprettyunitsprogressR6RcppRcppEigenreadrrlangRSpectratibbletidyselecttzdbutf8vctrsvroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate delta deviance of logistic null/alternative models | delta_deviance_lf |
| Genotype Conditional Association TEST | gcat gcat.stat gcatest |
| Simulated data from PSD model | sim_geno |
| Simulated data from PSD model | sim_trait |
