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:
PAGWAS_2.0.tar.gz
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PAGWAS_2.0.tgz(r-4.4-any)PAGWAS_2.0.tgz(r-4.3-any)
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PAGWAS.pdf |PAGWAS.html✨
PAGWAS/json (API)
# Install 'PAGWAS' in R: |
install.packages('PAGWAS', repos = c('https://mevangelou.r-universe.dev', 'https://cloud.r-project.org')) |
- SNPs - A data frame of 100 artificial SNPs with their chromosomes and positions on the genome
- 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
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:f72f5ebcca. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-win | ERROR | Oct 27 2024 |
R-4.5-linux | ERROR | Oct 27 2024 |
R-4.4-win | ERROR | Oct 27 2024 |
R-4.4-mac | ERROR | Oct 27 2024 |
R-4.3-win | ERROR | Oct 27 2024 |
R-4.3-mac | ERROR | Oct 27 2024 |
Exports:create.pathway.dfFM.chi.pvalueNBFSNALSNAL.calculationsnps.to.genessnps.to.pathways