Package: comorbidPGS 1.0.0

Vincent Pascat

comorbidPGS: Assessing Predisposition Between Phenotypes using Polygenic Scores

Using polygenic scores (PGS, or PRS/GRS for binary outcomes), this package allows to investigate shared predisposition between different conditions, and do fast association analysis, export plots and views of the PGS distribution using 'ggplot2' object.

Authors:Vincent Pascat [aut, cre]

comorbidPGS_1.0.0.tar.gz
comorbidPGS_1.0.0.zip(r-4.7)comorbidPGS_1.0.0.zip(r-4.6)comorbidPGS_1.0.0.zip(r-4.5)
comorbidPGS_1.0.0.tgz(r-4.6-any)comorbidPGS_1.0.0.tgz(r-4.5-any)
comorbidPGS_1.0.0.tar.gz(r-4.7-any)comorbidPGS_1.0.0.tar.gz(r-4.6-any)
comorbidPGS_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
comorbidPGS/json (API)

# Install 'comorbidPGS' in R:
install.packages('comorbidPGS', repos = c('https://vp-biostat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vp-biostat/comorbidpgs/issues

On CRAN:

Conda:

3.18 score 3 stars 4 scripts 155 downloads 9 exports 70 dependencies

Last updated from:07324baf14. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR152
source / vignettesOK169
linux-release-x86_64ERROR145
macos-release-arm64ERROR110
macos-oldrel-arm64ERROR124
windows-develERROR95
windows-releaseERROR90
windows-oldrelERROR99
wasm-releaseOK122

Exports:assocassocplotcentileplotdecileboxplotdensityplotmr_2slsmr_ratiomultiassocmultiphenassoc

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandivreglabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo