Package: capr 0.3.0

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>.

Authors:Xi Luo [aut, cre], Yi Zhao [aut], Brian Caffo [aut]

capr_0.3.0.tar.gz
capr_0.3.0.zip(r-4.7-x86_64)capr_0.3.0.zip(r-4.7-arm64)capr_0.3.0.zip(r-4.6-x86_64)capr_0.3.0.zip(r-4.6-arm64)capr_0.3.0.zip(r-4.5-x86_64)
capr_0.3.0.tgz(r-4.6-x86_64)capr_0.3.0.tgz(r-4.6-arm64)capr_0.3.0.tgz(r-4.5-x86_64)capr_0.3.0.tgz(r-4.5-arm64)
capr_0.3.0.tar.gz(r-4.7-arm64)capr_0.3.0.tar.gz(r-4.7-x86_64)capr_0.3.0.tar.gz(r-4.6-arm64)capr_0.3.0.tar.gz(r-4.6-x86_64)
capr_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
capr/json (API)

# Install 'capr' in R:
install.packages('capr', repos = c('https://rluo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rluo/capr/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

4.86 score 181 scripts 269 downloads 7 exports 3 dependencies

Last updated from:d8bf778115. Checks:13 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING133
linux-devel-x86_64WARNING147
source / vignettesOK198
linux-release-arm64WARNING125
linux-release-x86_64WARNING152
macos-release-arm64WARNING114
macos-release-x86_64WARNING286
macos-oldrel-arm64WARNING100
macos-oldrel-x86_64WARNING423
windows-devel-arm64WARNING339
windows-devel-x86_64WARNING156
windows-release-arm64WARNING345
windows-release-x86_64WARNING121
windows-oldrel-x86_64WARNING112
wasm-releaseOK109

Exports:caprcapr.bootcosine_similarityFGFG2log_deviation_from_diagonalitysimu.capr

Dependencies:MASSRcppRcppArmadillo