Package: gwrpvr 1.0

Michael ONeill

gwrpvr: Genome-Wide Regression P-Value (Gwrpv)

Computes the sample probability value (p-value) for the estimated coefficient from a standard genome-wide univariate regression. It computes the exact finite-sample p-value under the assumption that the measured phenotype (the dependent variable in the regression) has a known Bernoulli-normal mixture distribution. Finite-sample genome-wide regression p-values (Gwrpv) with a non-normally distributed phenotype (Gregory Connor and Michael O'Neill, bioRxiv 204727 <doi:10.1101/204727>).

Authors:Gregory Connor [aut], Michael O'Neill [trl, aut, cre]

gwrpvr_1.0.tar.gz
gwrpvr_1.0.zip(r-4.7)gwrpvr_1.0.zip(r-4.6)gwrpvr_1.0.zip(r-4.5)
gwrpvr_1.0.tgz(r-4.6-any)gwrpvr_1.0.tgz(r-4.5-any)
gwrpvr_1.0.tar.gz(r-4.7-any)gwrpvr_1.0.tar.gz(r-4.6-any)
gwrpvr_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gwrpvr/json (API)

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

Bug tracker:https://github.com/mfjoneill/gwrpvr/issues

Datasets:

On CRAN:

Conda:

2.70 score 2 scripts 96 downloads 6 exports 0 dependencies

Last updated from:b6853a1b5c. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE95
source / vignettesOK109
linux-release-x86_64NOTE138
macos-release-arm64NOTE202
macos-oldrel-arm64NOTE119
windows-develNOTE65
windows-releaseNOTE69
windows-oldrelNOTE60
wasm-releaseOK82

Exports:calc_pvalueclose_to_normalgwrpvgwrpv_batchhighlowloop_calc_pvalue

Dependencies: