Package: ClusPred 1.1.0

Matthieu Marbac

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.

Authors:Matthieu Marbac [aut, cre, cph], Mohammed Sedki [aut], Christophe Biernacki [aut], Vincent Vandewalle [aut]

ClusPred_1.1.0.tar.gz
ClusPred_1.1.0.tar.gz(r-4.5-noble)ClusPred_1.1.0.tar.gz(r-4.4-noble)
ClusPred_1.1.0.tgz(r-4.4-emscripten)ClusPred_1.1.0.tgz(r-4.3-emscripten)
ClusPred.pdf |ClusPred.html
ClusPred/json (API)

# Install 'ClusPred' in R:
install.packages('ClusPred', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 190 downloads 2 exports 16 dependencies

Last updated 3 years agofrom:996d7fb868. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 21 2024
R-4.5-linux-x86_64OKDec 21 2024

Exports:cluspredpredictboth

Dependencies:aldALDqrHyperbolicDistlatticeMASSMatrixMatrixModelsmnormtnumDerivquantregRcppRcppArmadillosnSparseMsurvivalVGAM