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]

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gwrpvr.pdf |gwrpvr.html✨
gwrpvr/json (API)

Peer review:

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

On CRAN:

6 exports 0.62 score 0 dependencies 2 scripts 132 downloads

Last updated 3 years agofrom:b6853a1b5c. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:calc_pvalueclose_to_normalgwrpvgwrpv_batchhighlowloop_calc_pvalue

Dependencies: