haplo.stats: Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous

Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.

Depends: R (≥ 4.1.0), methods, stats, graphics, arsenal
Imports: rms
Suggests: R.rsp, testthat
Published: 2024-02-02
DOI: 10.32614/CRAN.package.haplo.stats
Author: Sinnwell JP, Schaid DJ
Maintainer: Jason P. Sinnwell <sinnwell.jason at mayo.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://analytictools.mayo.edu/research/haplo-stats/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: haplo.stats results


Reference manual: haplo.stats.pdf
Vignettes: haplostats


Package source: haplo.stats_1.9.5.1.tar.gz
Windows binaries: r-devel: haplo.stats_1.9.5.1.zip, r-release: haplo.stats_1.9.5.1.zip, r-oldrel: haplo.stats_1.9.5.1.zip
macOS binaries: r-release (arm64): haplo.stats_1.9.5.1.tgz, r-oldrel (arm64): haplo.stats_1.9.5.1.tgz, r-release (x86_64): haplo.stats_1.9.5.1.tgz, r-oldrel (x86_64): haplo.stats_1.9.5.1.tgz
Old sources: haplo.stats archive

Reverse dependencies:

Reverse depends: haplo.ccs
Reverse imports: BIGDAWG, IFP, pould, SNPassoc
Reverse suggests: asymLD, gap, trio


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