Functions to perform most of the common analysis in genome association studies are implemented. These analyses include descriptive statistics and exploratory analysis of missing values, calculation of Hardy-Weinberg equilibrium, analysis of association based on generalized linear models (either for quantitative or binary traits), and analysis of multiple SNPs (haplotype and epistasis analysis). Permutation test and related tests (sum statistic and truncated product) are also implemented. Max-statistic and genetic risk-allele score exact distributions are also possible to be estimated. The methods are described in Gonzalez JR et al., 2007 <doi:10.1093/bioinformatics/btm025>.
Version: 2.1-2 Depends: R (≥ 4.0.0) Imports: haplo.stats, mvtnorm, parallel, survival, tidyr, plyr, ggplot2, poisbinom Suggests: testthat, knitr, rmarkdown, biomaRt, VariantAnnotation, GenomicRanges, IRanges, S4Vectors, org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg19.knownGene Published: 2024-10-28 DOI: 10.32614/CRAN.package.SNPassoc Author: Victor Moreno [aut], Juan R Gonzalez [aut], Dolors Pelegri [aut, cre] Maintainer: Dolors Pelegri <dolors.pelegri at isglobal.org> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/isglobal-brge/SNPassoc NeedsCompilation: no Materials: README In views: MissingData CRAN checks: SNPassoc results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=SNPassoc to link to this page.
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