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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

Documentation:

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

Downloads:

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

Linking:

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


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