Package: robregcc
Type: Package
Title: Robust Regression with Compositional Covariates
Version: 1.1
Date: 2020-10-10
Authors@R: c(person(given = "Aditya", family = "Mishra", role = c("aut", "cre"),
                    email = "amishra@flatironinstitute.org"),
             person(given = "Christian", family = "Muller", role = "ctb"))
Maintainer: Aditya Mishra <amishra@flatironinstitute.org>
Description: 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) <arXiv:1909.04990>.  
URL: https://arxiv.org/abs/1909.04990,
        https://github.com/amishra-stats/robregcc
Depends: R (>= 3.5.0), stats, utils
License: GPL (>= 3.0)
LazyData: true
Imports: Rcpp (>= 0.12.0), MASS, magrittr, graphics
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
RoxygenNote: 7.1.1
Encoding: UTF-8
Packaged: 2020-07-25 05:05:50 UTC; amishra
Author: Aditya Mishra [aut, cre],
  Christian Muller [ctb]
Repository: CRAN
Date/Publication: 2020-07-25 20:20:03 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 02:08:24 UTC; unix
Archs: robregcc.so.dSYM
