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.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

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:

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