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.

11 exports 0.49 score 0 dependencies 1 mentions 10 scripts 287 downloads

Last updated 2 years agofrom:006fe9bf0f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:fnfamfxnormplotnsibsntdtntdt.qplotDomplotNsibsplotNtdtptbptdt

Dependencies: