robregcc: Robust Regression with Compositional Covariates

We implement the algorithm estimating the parameters of the robust regression model with compositional covariates. The model simultaneously treats outliers and provides reliable parameter estimates. Publication reference: Mishra, A., Mueller, C.,(2019) <doi:10.48550/arXiv.1909.04990>.

Version: 1.1
Depends: R (≥ 3.5.0), stats, utils
Imports: Rcpp (≥ 0.12.0), MASS, magrittr, graphics
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-07-25
DOI: 10.32614/CRAN.package.robregcc
Author: Aditya Mishra [aut, cre], Christian Muller [ctb]
Maintainer: Aditya Mishra <amishra at>
License: GPL (≥ 3.0)
NeedsCompilation: yes
CRAN checks: robregcc results


Reference manual: robregcc.pdf


Package source: robregcc_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): robregcc_1.1.tgz, r-oldrel (arm64): robregcc_1.1.tgz, r-release (x86_64): robregcc_1.1.tgz, r-oldrel (x86_64): robregcc_1.1.tgz
Old sources: robregcc archive


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