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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 |
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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.
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