Package: regcorr 0.1.0
Ze Lin
regcorr: Models of Pearson Correlation Coefficient
Implements regression models to assess the effect of covariates on the Pearson correlation coefficient for both bivariate normal and bivariate binary responses. This package provides likelihood-based inference using Newton-Raphson estimation and bootstrap-based methods for significance testing, featuring built-in robust handling for numerical instabilities in extreme samples.
Authors:
regcorr_0.1.0.tar.gz
regcorr_0.1.0.zip(r-4.7)regcorr_0.1.0.zip(r-4.6)regcorr_0.1.0.zip(r-4.5)
regcorr_0.1.0.tgz(r-4.6-any)regcorr_0.1.0.tgz(r-4.5-any)
regcorr_0.1.0.tar.gz(r-4.7-any)regcorr_0.1.0.tar.gz(r-4.6-any)
regcorr_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
regcorr/json (API)
| # Install 'regcorr' in R: |
| install.packages('regcorr', repos = c('https://lonze-nb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lonze-nb/regcorr/issues
Last updated from:559555d31a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 96 | ||
| source / vignettes | OK | 131 | ||
| linux-release-x86_64 | OK | 94 | ||
| macos-release-arm64 | OK | 126 | ||
| macos-oldrel-arm64 | OK | 151 | ||
| windows-devel | OK | 74 | ||
| windows-release | OK | 59 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 81 |
Exports:genDataBBgenDataBNlogisticNRfitBivBernoulliNRfitBivNormalrbinarysubRoutineTest
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate data from bivariate Bernoulli | genDataBB |
| Generate data from bivariate normal | genDataBN |
| Logistic function | logistic |
| Estimate beta for Bivariate Bernoulli responses using Newton Raphson | NRfitBivBernoulli |
| Estimate beta for Bivariate Normal responses using Newton Raphson | NRfitBivNormal |
| Generate bivariate binary data | rbinary |
| Subroutine to test the significance of individual parameters | subRoutineTest |