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.
|Author||Gregory Nuel and Vittorio Perduca|
|Maintainer||G. Nuel <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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