Package: capr
Title: Covariate Assisted Principal Regression
Version: 0.3.0
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
Roxygen: list(markdown = TRUE)
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
Repository: https://rluo.r-universe.dev
Date/Publication: 2026-02-26 18:12:47 UTC
RemoteUrl: https://github.com/rluo/capr
RemoteRef: HEAD
RemoteSha: d8bf77811556644857249dd67565df89c3735448
NeedsCompilation: yes
Packaged: 2026-07-04 12:52:19 UTC; root