regcorr
Regression Models of Pearson Correlation Coefficient
Provides statistical tools for evaluating how covariates influence the strength of Pearson correlation coefficients between two response variables. Supports bivariate normal and bivariate binary responses, with likelihood-based inference and bootstrap-based significance testing. The methodology is based on Dufera, Liu and Xu (2023) "Regression models of Pearson correlation coefficient" <doi:10.1080/24754269.2023.2164970>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | regcorr_0.1.0.tar.gz |
41.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | regcorr_0.1.0.tar.gz |
41.0 KiB |
0.1.0 |
rolling source/ R- | regcorr_0.1.0.tar.gz |
11.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | regcorr_0.1.0.tar.gz |
41.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | regcorr_0.1.0.tar.gz |
41.0 KiB |
0.1.0 |
latest source/ R- | regcorr_0.1.0.tar.gz |
11.3 KiB |
0.1.0 |
2026-04-23 source/ R- | regcorr_0.1.0.tar.gz |
0 B |