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r-waffect

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waffect (pronounced 'double-u affect' for 'weighted affectation') is a package to simulate phenotypic (case or control) datasets under a disease model H1 such that the total number of cases is constant across all the simulations (the constrain in the title). The package also makes it possible to generate phenotypes in the case of more than two classes, so that the number of phenotypes belonging to each class is constant across all the simulations. waffect is used to assess empirically the statistical power of Genome Wide Association studies.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-waffect

Usage Tracking

1.2
1 / 8 versions selected
Total downloads: 0

About

Summary

waffect (pronounced 'double-u affect' for 'weighted affectation') is a package to simulate phenotypic (case or control) datasets under a disease model H1 such that the total number of cases is constant across all the simulations (the constrain in the title). The package also makes it possible to generate phenotypes in the case of more than two classes, so that the number of phenotypes belonging to each class is constant across all the simulations. waffect is used to assess empirically the statistical power of Genome Wide Association studies.

Information Last Updated

Apr 22, 2025 at 15:32

License

GPL-3

Total Downloads

6

Platforms

Linux 64 Version: 1.2
macOS 64 Version: 1.2
Win 64 Version: 1.2