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>.
| Version: | 0.2.0 |
| Imports: | Rcpp, MASS |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, roxygen2 |
| Published: | 2026-01-24 |
| DOI: | 10.32614/CRAN.package.capr (may not be active yet) |
| Author: | Xi Luo [aut, cre], Yi Zhao [aut], Brian Caffo [aut] |
| Maintainer: | Xi Luo <xi.rossi.luo at gmail.com> |
| BugReports: | https://github.com/rluo/capr/issues |
| License: | GPL-3 |
| URL: | https://github.com/rluo/capr |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| CRAN checks: | capr results |
| Reference manual: | capr.html , capr.pdf |
| Package source: | capr_0.2.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): capr_0.2.0.tgz, r-oldrel (arm64): capr_0.2.0.tgz, r-release (x86_64): capr_0.2.0.tgz, r-oldrel (x86_64): capr_0.2.0.tgz |
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