Package: powerpkg 1.6

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.

Authors:Daniel E. Weeks

powerpkg_1.6.tar.gz
powerpkg_1.6.zip(r-4.5)powerpkg_1.6.zip(r-4.4)powerpkg_1.6.zip(r-4.3)
powerpkg_1.6.tgz(r-4.4-any)powerpkg_1.6.tgz(r-4.3-any)
powerpkg_1.6.tar.gz(r-4.5-noble)powerpkg_1.6.tar.gz(r-4.4-noble)
powerpkg_1.6.tgz(r-4.4-emscripten)powerpkg_1.6.tgz(r-4.3-emscripten)
powerpkg.pdf |powerpkg.html
powerpkg/json (API)

# Install 'powerpkg' in R:
install.packages('powerpkg', repos = c('https://danieleweeks.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 10 scripts 215 downloads 1 mentions 11 exports 0 dependencies

Last updated 3 years agofrom:006fe9bf0f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:fnfamfxnormplotnsibsntdtntdt.qplotDomplotNsibsplotNtdtptbptdt

Dependencies: