Package: PAGWAS 2.0

PAGWAS: Pathway Analysis Methods for Genomewide Association Data

Bayesian hierarchical methods for pathway analysis of genomewide association data: Normal/Bayes factors and Sparse Normal/Adaptive lasso. The Frequentist Fisher's product method is included as well.

Authors:Marina Evangelou

PAGWAS_2.0.tar.gz
PAGWAS_2.0.zip(r-4.7)PAGWAS_2.0.zip(r-4.6)PAGWAS_2.0.zip(r-4.5)
PAGWAS_2.0.tgz(r-4.6-any)PAGWAS_2.0.tgz(r-4.5-any)
PAGWAS_2.0.tar.gz(r-4.7-any)PAGWAS_2.0.tar.gz(r-4.6-any)
PAGWAS_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
PAGWAS/json (API)

# Install 'PAGWAS' in R:
install.packages('PAGWAS', repos = c('https://mevangelou.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • genes - A data frame of 20 artificial genes with their chromosomes and positions on the genome
  • genotypes - Genotypes for 100 SNPs and 75 individuals
  • list.of.parameters - A list with possible hyper-parameters for NBF
  • pathways - A list of 2 pathways with their gene members
  • SNPs - A data frame of 100 artificial SNPs with their chromosomes and positions on the genome

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.04 score 11 scripts 180 downloads 7 exports 5 dependencies

Last updated from:f72f5ebcca. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR102
source / vignettesOK126
linux-release-x86_64ERROR108
macos-release-arm64ERROR134
macos-oldrel-arm64ERROR165
windows-develERROR78
windows-releaseERROR67
windows-oldrelERROR59
wasm-releaseOK90

Exports:create.pathway.dfFM.chi.pvalueNBFSNALSNAL.calculationsnps.to.genessnps.to.pathways

Dependencies:codetoolsforeachiteratorslarsmnormt