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.

Version: 1.7.9
Depends: R (≥ 3.0.0), methods, stats, graphics
Imports: rms
Suggests: R.rsp
Published: 2018-04-11
Author: Sinnwell JP, Schaid DJ
Maintainer: Jason P. Sinnwell <sinnwell.jason at mayo.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.mayo.edu/research/labs/statistical-genetics-genetic-epidemiology/software
NeedsCompilation: yes
Materials: NEWS
In views: Genetics
CRAN checks: haplo.stats results


Reference manual: haplo.stats.pdf
Vignettes: manualHaploStats
Package source: haplo.stats_1.7.9.tar.gz
Windows binaries: r-devel: haplo.stats_1.7.9.zip, r-devel-gcc8: haplo.stats_1.7.9.zip, r-release: haplo.stats_1.7.9.zip, r-oldrel: haplo.stats_1.7.9.zip
OS X binaries: r-release: haplo.stats_1.7.9.tgz, r-oldrel: haplo.stats_1.7.9.tgz
Old sources: haplo.stats archive

Reverse dependencies:

Reverse depends: BVS, SNPassoc
Reverse imports: BIGDAWG, CollapsABEL, IFP, Rsampletrees
Reverse suggests: asymLD, gap


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