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) <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.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

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