Package: RobRegression 0.1.0

RobRegression: Robust Multivariate Regression

Robust methods for estimating the parameters of multivariate Gaussian linear models.

Authors:Antoine Godichon-Baggioni [aut, cre, cph], Stéphane Robin [aut], Laure Sansonnet [aut]

RobRegression_0.1.0.tar.gz
RobRegression_0.1.0.zip(r-4.5)RobRegression_0.1.0.zip(r-4.4)RobRegression_0.1.0.zip(r-4.3)
RobRegression_0.1.0.tgz(r-4.4-x86_64)RobRegression_0.1.0.tgz(r-4.4-arm64)RobRegression_0.1.0.tgz(r-4.3-x86_64)RobRegression_0.1.0.tgz(r-4.3-arm64)
RobRegression_0.1.0.tar.gz(r-4.5-noble)RobRegression_0.1.0.tar.gz(r-4.4-noble)
RobRegression_0.1.0.tgz(r-4.4-emscripten)RobRegression_0.1.0.tgz(r-4.3-emscripten)
RobRegression.pdf |RobRegression.html
RobRegression/json (API)

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

Peer review:

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

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.09 score 56 dependencies 875 downloads

Last updated 5 months agofrom:ed424e0300. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-win-x86_64OKSep 03 2024
R-4.5-linux-x86_64OKSep 03 2024
R-4.4-win-x86_64OKSep 03 2024
R-4.4-mac-x86_64OKSep 03 2024
R-4.4-mac-aarch64OKSep 03 2024
R-4.3-win-x86_64OKSep 03 2024
R-4.3-mac-x86_64OKSep 03 2024
R-4.3-mac-aarch64OKSep 03 2024

Exports:Robust_Mahalanobis_regressionRobust_regressionRobust_Variance

Dependencies:askpassbootcapushecellrangerclassclicodetoolscpp11crayoncurldata.tableDescToolsdoParallele1071ExactexpmfansifastmatrixforeachgldgluehmshttriteratorsjsonliteKneeArrowerlatticelifecyclelmommagrittrMASSMatrixmimemvtnormopensslpillarpkgconfigprettyunitsprogressproxyR6RcppRcppArmadilloRcppEigenreadxlrematchrlangrootSolveRSpectrarstudioapisignalsystibbleutf8vctrswithr

Readme and manuals

Help Manual

Help pageTopics
Robust Multivariate RegressionRobRegression-package
Robust_Mahalanobis_regressionRobust_Mahalanobis_regression
Robust_regressionRobust_regression
Robust_VarianceRobust_Variance