waffect: A package to simulate constrained phenotypes under a disease model H1

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.

Install the latest version of this package by entering the following in R:
install.packages("waffect")
AuthorGregory Nuel and Vittorio Perduca
Date of publication2012-04-11 13:32:12
MaintainerG. Nuel <gregory.nuel@parisdescartes.fr>
LicenseGPL (>= 3)
Version1.2

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Files

MD5
vignettes
vignettes/waffect-tutorial.Rnw
vignettes/biblio.bib
src
src/xdouble.h
src/waffect.h
src/waffect.cpp
src/Makevars.win
src/Makevars
R
R/waffectbin.R R/waffect.R
NAMESPACE
man
man/waffectbin.Rd man/waffect.Rd man/waffect-package.Rd man/ped.Rd man/p2_H1.Rd man/p2_H0.Rd man/p1_H1.Rd man/p1_H0.Rd man/map.Rd
inst
inst/doc
inst/doc/waffect-tutorial.Rnw
inst/doc/waffect-tutorial.pdf
inst/CITATION
DESCRIPTION
data
data/ped.txt.gz
data/p2_H1.txt.gz
data/p2_H0.txt.gz
data/p1_H1.txt.gz
data/p1_H0.txt.gz
data/map.txt.gz

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.