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|
|Date of publication||2012-04-11 13:32:12|
|Maintainer||G. Nuel <firstname.lastname@example.org>|
|License||GPL (>= 3)|
map: SNP description in MAP format
p1_H0: Signal of association of the statistic S1 under H0
p1_H1: Signal of association of the statistic S1 under H1
p2_H0: Signal of association of the statistic S2 under H0
p2_H1: Signal of association of the statistic S2 under H1
ped: Genotypic dataset in PED format
waffect: Simulation of phenotypes in the binary (case/control) and...
waffectbin: Low level function for simulating binary phenotypes.
waffect-package: A package to simulate constrained phenotypes under a disease...