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:
capr_0.3.0.tar.gz
capr_0.3.0.zip(r-4.7)capr_0.3.0.zip(r-4.6)capr_0.3.0.zip(r-4.5)
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✨
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
Last updated from:d8bf778115. Checks:11 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 130 | ||
| linux-devel-x86_64 | WARNING | 142 | ||
| source / vignettes | OK | 179 | ||
| linux-release-arm64 | WARNING | 178 | ||
| linux-release-x86_64 | WARNING | 117 | ||
| macos-release-arm64 | WARNING | 115 | ||
| macos-release-x86_64 | WARNING | 379 | ||
| macos-oldrel-arm64 | WARNING | 86 | ||
| macos-oldrel-x86_64 | WARNING | 201 | ||
| windows-devel | WARNING | 126 | ||
| windows-release | WARNING | 175 | ||
| windows-oldrel | WARNING | 130 | ||
| wasm-release | OK | 120 |
Exports:caprcapr.bootcosine_similarityFGFG2log_deviation_from_diagonalitysimu.capr
Dependencies:MASSRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Covariate Assisted Principal (CAP) Regression | capr |
| Bootstrap confidence intervals for CAP coefficients | capr.boot |
| Cosine similarity between numeric vectors | cosine_similarity |
| Flury-Gautschi Common Principal Components | FG FG2 |
| Log deviation from diagonality | log_deviation_from_diagonality |
| Plot deviation diagnostics by component count | plot.capr |
| Print method for CAP regression fits | print.capr |
| Print method for 'capr.boot' objects | print.capr.boot |
| Simulate covariance matrices compatible with 'capr()' | simu.capr |
