ClusPred: Simultaneous Semi-Parametric Estimation of Clustering and Regression

Parameter estimation of regression models with fixed group effects, when the group variable is missing while group-related variables are available. Parametric and semi-parametric approaches described in Marbac et al. (2020) <arXiv:2012.14159> are implemented.

Version: 1.0.0
Depends: R (≥ 3.5)
Imports: Rcpp, parallel, ALDqr, ald, quantreg, VGAM
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-06-18
Author: Matthieu Marbac [aut, cre, cph], Mohammed Sedki [aut], Christophe Biernacki [aut], Vincent Vandewalle [aut]
Maintainer: Matthieu Marbac <matthieu.marbac-lourdelle at ensai.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://arxiv.org/abs/2012.14159
NeedsCompilation: yes
CRAN checks: ClusPred results

Documentation:

Reference manual: ClusPred.pdf

Downloads:

Package source: ClusPred_1.0.0.tar.gz
Windows binaries: r-devel: ClusPred_1.0.0.zip, r-devel-UCRT: ClusPred_1.0.0.zip, r-release: ClusPred_1.0.0.zip, r-oldrel: ClusPred_1.0.0.zip
macOS binaries: r-release (arm64): ClusPred_1.0.0.tgz, r-release (x86_64): ClusPred_1.0.0.tgz, r-oldrel: ClusPred_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ClusPred to link to this page.