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powerpkg: Power Analyses for the Affected Sib Pair and the TDT Design

There are two main functions: (1) To estimate the power of testing for linkage using an affected sib pair design, as a function of the recurrence risk ratios. We will use analytical power formulae as implemented in R. These are based on a Mathematica notebook created by Martin Farrall. (2) To examine how the power of the transmission disequilibrium test (TDT) depends on the disease allele frequency, the marker allele frequency, the strength of the linkage disequilibrium, and the magnitude of the genetic effect. We will use an R program that implements the power formulae of Abel and Muller-Myhsok (1998). These formulae allow one to quickly compute power of the TDT approach under a variety of different conditions. This R program was modeled on Martin Farrall's Mathematica notebook.

Version: 1.6
Depends: tcltk
Published: 2022-05-19
DOI: 10.32614/CRAN.package.powerpkg
Author: Daniel E. Weeks
Maintainer: Daniel E. Weeks <weeks at pitt.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: powerpkg results

Documentation:

Reference manual: powerpkg.pdf

Downloads:

Package source: powerpkg_1.6.tar.gz
Windows binaries: r-devel: powerpkg_1.6.zip, r-release: powerpkg_1.6.zip, r-oldrel: powerpkg_1.6.zip
macOS binaries: r-release (arm64): powerpkg_1.6.tgz, r-oldrel (arm64): powerpkg_1.6.tgz, r-release (x86_64): powerpkg_1.6.tgz, r-oldrel (x86_64): powerpkg_1.6.tgz
Old sources: powerpkg archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.