Package: RNOmni 1.0.1.2

Zachary McCaw

RNOmni: Rank Normal Transformation Omnibus Test

Inverse normal transformation (INT) based genetic association testing. These tests are recommend for continuous traits with non-normally distributed residuals. INT-based tests robustly control the type I error in settings where standard linear regression does not, as when the residual distribution exhibits excess skew or kurtosis. Moreover, INT-based tests outperform standard linear regression in terms of power. These tests may be classified into two types. In direct INT (D-INT), the phenotype is itself transformed. In indirect INT (I-INT), phenotypic residuals are transformed. The omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach. See McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. "Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies" <doi:10.1111/biom.13214>.

Authors:Zachary McCaw [aut, cre]

RNOmni_1.0.1.2.tar.gz
RNOmni_1.0.1.2.tar.gz(r-4.5-noble)RNOmni_1.0.1.2.tar.gz(r-4.4-noble)
RNOmni_1.0.1.2.tgz(r-4.4-emscripten)RNOmni_1.0.1.2.tgz(r-4.3-emscripten)
RNOmni.pdf |RNOmni.html
RNOmni/json (API)
NEWS

# Install 'RNOmni' in R:
install.packages('RNOmni', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.72 score 2 packages 293 scripts 1.0k downloads 3 mentions 7 exports 3 dependencies

Last updated 1 years agofrom:37586340b6. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 04 2024
R-4.5-linux-x86_64OKOct 04 2024

Exports:BATDINTFitOLSIINTOINTOmniPRankNorm

Dependencies:plyrRcppRcppArmadillo

Rank Normal Omnibus Association Test

Rendered fromRNOmni.html.asisusingR.rsp::asison Oct 04 2024.

Last update: 2020-10-05
Started: 2020-10-05