Package: RapidoPGS 2.3.1.9000
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RapidoPGS: A Fast and Light Package to Compute Polygenic Risk Scores
Quickly computes polygenic scores from GWAS summary statistics of either case-control or quantitative traits without parameter tuning. Reales,G., Vigorito, E., Kelemen,M., Wallace,C. (2021) <doi:10.1101/2020.07.24.220392> "RápidoPGS: A rapid polygenic score calculator for summary GWAS data without a test dataset".
Authors:
RapidoPGS_2.3.1.9000.tar.gz
RapidoPGS_2.3.1.9000.zip(r-4.5)RapidoPGS_2.3.1.9000.zip(r-4.4)RapidoPGS_2.3.1.9000.zip(r-4.3)
RapidoPGS_2.3.1.9000.tgz(r-4.5-any)RapidoPGS_2.3.1.9000.tgz(r-4.4-any)RapidoPGS_2.3.1.9000.tgz(r-4.3-any)
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RapidoPGS.pdf |RapidoPGS.html✨
RapidoPGS/json (API)
NEWS
# Install 'RapidoPGS' in R: |
install.packages('RapidoPGS', repos = c('https://grealesm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/grealesm/rapidopgs/issues
- EUR_ld.blocks19 - LD block architecture for European populations (hg19).
- EUR_ld.blocks38 - LD block architecture for European populations (hg38).
- michailidou19 - Subset of Michailidou BRCA GWAS sumstat dataset.
- michailidou38 - Subset of Michailidou BRCA GWAS sumstat dataset.
Last updated 6 hours agofrom:dec994e71d. Checks:8 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 19 2025 |
R-4.5-win | OK | Feb 19 2025 |
R-4.5-mac | OK | Feb 19 2025 |
R-4.5-linux | OK | Feb 19 2025 |
R-4.4-win | OK | Feb 19 2025 |
R-4.4-mac | OK | Feb 19 2025 |
R-4.3-win | OK | Feb 19 2025 |
R-4.3-mac | OK | Feb 19 2025 |
Exports:create_1000Ggwascat.downloadrapidopgs_multirapidopgs_singlesd.prior.est
Dependencies:askpassBHbigassertrbigparallelrbigreadrbigsnprbigsparserbigstatsrbigutilsrBiocGenericsbitbitopsclicodetoolscoloccolorspacecowplotcrayoncurldata.tableDEoptimRdigestdoParalleldoRNGdplyrfansifarverffflockforeachgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegridExtragtablehttrIRangesirlbaisobanditeratorsjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmimemixsqpmunsellnabornlmeopensslparallellypillarpkgconfigplyrpsR6RColorBrewerRcppRcppArmadilloRcppEigenRCurlreshapeRhpcBLASctlrlangrmiorngtoolsrobustbaseroptimRSpectrarunonceS4VectorsscalessusieRsystibbletidyselecttriebeardUCSC.utilsurltoolsutf8vctrsviridisviridisLitewithrXVector
Computing a PGS using RápidoPGS-multi
Rendered fromComputing_RapidoPGSmulti.Rmd
usingknitr::rmarkdown
on Feb 19 2025.Last update: 2023-10-12
Started: 2021-04-14
Computing a PGS using RápidoPGS-single and GWAS catalog
Rendered fromComputing_RapidoPGSsingle.Rmd
usingknitr::rmarkdown
on Feb 19 2025.Last update: 2025-02-19
Started: 2021-04-14