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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 |
| 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 |
| Reference manual: | powerpkg.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
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