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ClusPred: Simultaneous Semi-Parametric Estimation of Clustering andRegression

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) <doi:10.48550/arXiv.2012.14159> are implemented.

Version:1.1.0
Depends:R (≥ 3.5)
Imports:Rcpp, parallel,ALDqr,ald,quantreg,VGAM
LinkingTo:Rcpp,RcppArmadillo
Published:2021-12-02
DOI:10.32614/CRAN.package.ClusPred
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
In views:MissingData
CRAN checks:ClusPred results

Documentation:

Reference manual:ClusPred.html ,ClusPred.pdf

Downloads:

Package source: ClusPred_1.1.0.tar.gz
Windows binaries: r-devel:ClusPred_1.1.0.zip, r-release:ClusPred_1.1.0.zip, r-oldrel:ClusPred_1.1.0.zip
macOS binaries: r-release (arm64):ClusPred_1.1.0.tgz, r-oldrel (arm64):ClusPred_1.1.0.tgz, r-release (x86_64):ClusPred_1.1.0.tgz, r-oldrel (x86_64):ClusPred_1.1.0.tgz
Old sources: ClusPred archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ClusPredto link to this page.


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