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: | 0.7.3 |
| 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: | 2019-03-20 |
| 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 |
| Materials: | README NEWS |
| CRAN checks: | iprior results |
| Reference manual: | iprior.pdf |
| Vignettes: |
Closed-form EM algorithm matrix manipulations Cross-validation analysis of the Tecator data set An R Package for Regression Modelling Using I-priors |
| Package source: | iprior_0.7.3.tar.gz |
| Windows binaries: | r-devel: iprior_0.7.3.zip, r-release: iprior_0.7.3.zip, r-oldrel: iprior_0.7.3.zip |
| macOS binaries: | r-release: iprior_0.7.3.tgz, r-oldrel: iprior_0.7.3.tgz |
| Old sources: | iprior archive |
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