iprior: Regression Modelling using I-Priors

Provides methods to perform and analyse I-prior regression models. Estimation is done either via direct optimisation of the log-likelihood or an EM algorithm.

Version: 0.7.4
Depends: R (≥ 3.2.5)
Imports: doSNOW, foreach, ggplot2, mvtnorm, Rcpp (≥ 0.12.5), reshape2, scales
LinkingTo: Rcpp, RcppEigen
Suggests: caret, knitr, MASS, R.rsp, rmarkdown, testthat
Published: 2024-04-01
DOI: 10.32614/CRAN.package.iprior
Author: Haziq Jamil [aut, cre]
Maintainer: Haziq Jamil <haziq.jamil at gmail.com>
BugReports: https://github.com/haziqj/iprior/issues
License: GPL (≥ 3.0)
URL: https://github.com/haziqj/iprior
NeedsCompilation: yes
Language: en-GB
Materials: README NEWS
CRAN checks: iprior results


Reference manual: iprior.pdf
Vignettes: Closed-form EM algorithm matrix manipulations
Regression with a functional covariate: Cross-validation analysis of the Tecator data set
An R Package for Regression Modelling Using I-priors


Package source: iprior_0.7.4.tar.gz
Windows binaries: r-devel: iprior_0.7.4.zip, r-release: iprior_0.7.4.zip, r-oldrel: iprior_0.7.4.zip
macOS binaries: r-release (arm64): iprior_0.7.4.tgz, r-oldrel (arm64): iprior_0.7.4.tgz, r-release (x86_64): iprior_0.7.4.tgz, r-oldrel (x86_64): iprior_0.7.4.tgz
Old sources: iprior archive


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