RNOmni

Omnibus Test for Genetic Association Analysis using the Rank Normal Transformation

Implementation of genetic association tests based on the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two complementary INT-based approaches. In simulations against phenotypes with skewed and heavy tailed residual distributions, the omnibus test provided valid inference in the absence of a genotypic effect, and provided power comparable to the more powerful of the component methods in the presence of a genotypic effect. Under these settings, standard linear regression often failed to control the type I error.

Total

2,340

Last month

1,744

Last week

434

Average per day

58

Daily downloads

Total downloads

Description file content

Package
RNOmni
Title
Omnibus Test for Genetic Association Analysis using the Rank Normal Transformation
Version
0.3.0
Date
2018-04-01
Description
Implementation of genetic association tests based on the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two complementary INT-based approaches. In simulations against phenotypes with skewed and heavy tailed residual distributions, the omnibus test provided valid inference in the absence of a genotypic effect, and provided power comparable to the more powerful of the component methods in the presence of a genotypic effect. Under these settings, standard linear regression often failed to control the type I error.
Depends
R (>= 3.2.2)
Imports
abind, foreach, mvtnorm, plyr, Rcpp
License
GPL-3
Encoding
UTF-8
LazyData
true
RoxygenNote
6.0.1
Suggests
ggplot2, knitr, reshape2, rmarkdown
VignetteBuilder
knitr
LinkingTo
Rcpp, RcppEigen
NeedsCompilation
yes
Packaged
2018-04-17 23:57:22 UTC; zmccaw
Author
Zachary McCaw [aut, cre]
Maintainer
Zachary McCaw
Repository
CRAN
Date/Publication
2018-04-18 07:59:20 UTC

install.packages('RNOmni')

0.3.0

5 days ago

Zachary McCaw

GPL-3

Depends on

R (>= 3.2.2)

Imports

abind, foreach, mvtnorm, plyr, Rcpp

Suggests

ggplot2, knitr, reshape2, rmarkdown

Discussions