capr
Covariate Assisted Principal Regression
Covariate Assisted Principal Regression (CAPR) for multiple covariance-matrix outcomes. The method identifies (principal) projection directions that maximize the log-likelihood of a log-linear regression model of the covariates. See Zhao et al. (2021), "Covariate Assisted Principal Regression for Covariance Matrix Outcomes" <doi:10.1093/biostatistics/kxz057>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | capr_0.2.0.tar.gz |
200.8 KiB |
0.2.0 |
rolling linux/noble R-4.5 | capr_0.2.0.tar.gz |
213.4 KiB |
0.2.0 |
rolling source/ R- | capr_0.2.0.tar.gz |
26.2 KiB |
0.2.0 |
latest linux/jammy R-4.5 | capr_0.2.0.tar.gz |
200.8 KiB |
0.2.0 |
latest linux/noble R-4.5 | capr_0.2.0.tar.gz |
213.4 KiB |
0.2.0 |
latest source/ R- | capr_0.2.0.tar.gz |
26.2 KiB |
0.2.0 |
2026-04-26 source/ R- | capr_0.2.0.tar.gz |
26.2 KiB |
0.2.0 |
2026-04-23 source/ R- | capr_0.2.0.tar.gz |
26.2 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | capr_0.2.0.zip |
523.8 KiB |