Package: CovRegRF 2.0.0
CovRegRF: Covariance Regression with Random Forests
Covariance Regression with Random Forests (CovRegRF) is a random forest method for estimating the covariance matrix of a multivariate response given a set of covariates. Random forest trees are built with a new splitting rule which is designed to maximize the distance between the sample covariance matrix estimates of the child nodes. The method is described in Alakus et al. (2023) <doi:10.1186/s12859-023-05377-y>. 'CovRegRF' uses 'randomForestSRC' package (Ishwaran and Kogalur, 2022) <https://cran.r-project.org/package=randomForestSRC> by freezing at the version 3.1.0. The custom splitting rule feature is utilised to apply the proposed splitting rule. The 'randomForestSRC' package implements 'OpenMP' by default, contingent upon the support provided by the target architecture and operating system. In this package, 'LAPACK' and 'BLAS' libraries are used for matrix decompositions.
Authors:
CovRegRF_2.0.0.tar.gz
CovRegRF_2.0.0.zip(r-4.5)CovRegRF_2.0.0.zip(r-4.4)CovRegRF_2.0.0.zip(r-4.3)
CovRegRF_2.0.0.tgz(r-4.4-x86_64)CovRegRF_2.0.0.tgz(r-4.4-arm64)CovRegRF_2.0.0.tgz(r-4.3-x86_64)CovRegRF_2.0.0.tgz(r-4.3-arm64)
CovRegRF_2.0.0.tar.gz(r-4.5-noble)CovRegRF_2.0.0.tar.gz(r-4.4-noble)
CovRegRF_2.0.0.tgz(r-4.4-emscripten)CovRegRF_2.0.0.tgz(r-4.3-emscripten)
CovRegRF.pdf |CovRegRF.html✨
CovRegRF/json (API)
NEWS
# Install 'CovRegRF' in R: |
install.packages('CovRegRF', repos = c('https://calakus.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/calakus/covregrf/issues
- data - Generated example data
Last updated 9 months agofrom:d72dcc7785. Checks:ERROR: 1 WARNING: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Nov 04 2024 |
R-4.5-win-x86_64 | WARNING | Nov 04 2024 |
R-4.5-linux-x86_64 | WARNING | Nov 04 2024 |
R-4.4-win-x86_64 | WARNING | Nov 04 2024 |
R-4.4-mac-x86_64 | WARNING | Nov 04 2024 |
R-4.4-mac-aarch64 | WARNING | Nov 04 2024 |
R-4.3-win-x86_64 | WARNING | Nov 04 2024 |
R-4.3-mac-x86_64 | WARNING | Nov 04 2024 |
R-4.3-mac-aarch64 | WARNING | Nov 04 2024 |
Exports:covregrfplot.vimpplot.vimp.covregrfpredict.covregrfprint.covregrfsignificance.testvimpvimp.covregrf
Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayondata.tabledata.treeDiagrammeRdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimemunsellpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerreadrrlangrmarkdownrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
CovRegRF: A package for estimating covariance matrix of a multivariate response given a set of covariates with random forests | CovRegRF-package |
Covariance Regression with Random Forests | covregrf |
Generated example data | data |
Plot variable importance measures for covregrf objects | plot.vimp plot.vimp.covregrf |
Predict method for covregrf objects | predict.covregrf |
Print summary output of a CovRegRF analysis | print.covregrf |
Significance test | significance.test |
Variable importance for covregrf objects | vimp vimp.covregrf |