Package: capr
Title: Covariate Assisted Principal Regression
Version: 0.2.0
Author: Xi Luo [aut, cre],
  Yi Zhao [aut],
  Brian Caffo [aut]
Maintainer: Xi Luo <xi.rossi.luo@gmail.com>
Authors@R: 
    c(
        person("Xi", "Luo", , email = "xi.rossi.luo@gmail.com", role = c("aut", "cre")),
        person("Yi", "Zhao", email = "zhaoyi1026@gmail.com", role = "aut"),
        person("Brian", "Caffo", email = "bcaffo@gmail.com", role = "aut")
    )
Description: 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>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, MASS
Suggests: testthat, roxygen2
SystemRequirements: C++17
URL: https://github.com/rluo/capr
BugReports: https://github.com/rluo/capr/issues
NeedsCompilation: yes
Packaged: 2026-01-20 19:55:03 UTC; root
Repository: CRAN
Date/Publication: 2026-01-24 10:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 13:51:32 UTC; unix
Archs: capr.so.dSYM
