Package: comorbidPGS 0.3.4

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_0.3.4.tar.gz
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comorbidPGS_0.3.4.tgz(r-4.4-any)comorbidPGS_0.3.4.tgz(r-4.3-any)
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comorbidPGS.pdf |comorbidPGS.html✨
comorbidPGS/json (API)

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

Peer review:

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

Datasets:

On CRAN:

7 exports 2 stars 1.25 score 29 dependencies 3 scripts 176 downloads

Last updated 2 months agofrom:987b23ee09. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winOKSep 01 2024
R-4.5-linuxOKSep 01 2024
R-4.4-winOKSep 01 2024
R-4.4-macOKSep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

Exports:assocassocplotcentileplotdecileboxplotdensityplotmultiassocmultiphenassoc

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr