Package: RNOmni 1.0.1.2
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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:37586340b6. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 03 2024 |
R-4.5-linux-x86_64 | OK | Dec 03 2024 |
Exports:BATDINTFitOLSIINTOINTOmniPRankNorm
Dependencies:plyrRcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Basic Input Checks | BasicInputChecks |
Basic Association Test | BAT |
Convert Cauchy Random Variable to P | CauchyToP |
Direct-INT | DINT |
Ordinary Least Squares | FitOLS |
Indirect-INT | IINT |
Omnibus-INT | OINT |
Omnibus P-value. | OmniP |
Partition Data | PartitionData |
Convert P-value to Cauchy Random | PtoCauchy |
Rank-Normalize | RankNorm |