genpwr: Power Calculations Under Genetic Model Misspecification

Power and sample size calculations for genetic association studies allowing for misspecification of the model of genetic susceptibility. Power and/or sample size can be calculated for logistic (case/control study design) and linear (continuous phenotype) regression models, using additive, dominant, recessive or degree of freedom coding of the genetic covariate while assuming a true dominant, recessive or additive genetic effect. In addition, power and sample size calculations can be performed for gene by environment interactions. These methods are extensions of Gauderman (2002) <doi:10.1093/aje/155.5.478> and Gauderman (2002) <doi:10.1002/sim.973> and are described in: Moore CM, Jacobson S, Fingerlin TE. Power and Sample Size Calculations for Genetic Association Studies in the Presence of Genetic Model Misspecification. American Society of Human Genetics. October 2018, San Diego. Poster Presentation: <http://www.ashg.org/2018meeting/listing/PosterSessions.shtml>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: ggplot2, nleqslv, MASS, stats, utils
Suggests: knitr, rmarkdown
Published: 2019-09-17
Author: Camille Moore [aut, cre], Sean Jacobson [aut]
Maintainer: Camille Moore <moorec at njhealth.org>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: genpwr results

Downloads:

Reference manual: genpwr.pdf
Vignettes: Introduction to genpwr
Package source: genpwr_1.0.1.tar.gz
Windows binaries: r-devel: genpwr_1.0.0.zip, r-release: genpwr_1.0.0.zip, r-oldrel: genpwr_1.0.0.zip
OS X binaries: r-release: genpwr_1.0.0.tgz, r-oldrel: genpwr_1.0.0.tgz
Old sources: genpwr archive

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