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
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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

4.80 score 125 scripts 269 downloads 7 exports 3 dependencies

Last updated from:d8bf778115. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING142
linux-devel-x86_64WARNING132
source / vignettesOK180
linux-release-arm64WARNING173
linux-release-x86_64WARNING139
macos-release-arm64WARNING85
macos-release-x86_64WARNING338
macos-oldrel-arm64WARNING175
macos-oldrel-x86_64WARNING208
windows-develWARNING139
windows-releaseWARNING123
windows-oldrelWARNING129
wasm-releaseOK157

Exports:caprcapr.bootcosine_similarityFGFG2log_deviation_from_diagonalitysimu.capr

Dependencies:MASSRcppRcppArmadillo