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-any)comorbidPGS_1.0.0.zip(r-4.6-any)comorbidPGS_1.0.0.zip(r-4.5-any)
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✨
DESCRIPTION
card.svg |card.png
comorbidPGS/json (API)

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

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Datasets:

On CRAN:

Conda:

archivedpackagesr-universe

2.40 score 5 stars 231 downloads 9 exports 69 dependencies

Last updated from:13dd2a3ae3 (on package/comorbidPGS). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK166
source / vignettesOK267
linux-releaseOK169
macos-releaseOK126
macos-oldrelOK143
windows-develOK117
windows-releaseOK123
windows-oldrelOK131
wasm-releaseOK119

Exports:assocassocplotcentileplotdecileboxplotdensityplotmr_2slsmr_ratiomultiassocmultiphenassoc

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandivreglabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo