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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 |
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 |
Please use the canonical form https://CRAN.R-project.org/package=iprior to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.