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Three algorithms for estimating a Markov random field structure.Two of them are an exact version and a simulated annealing version of a penalized maximum conditional likelihood method similar to the Bayesian Information Criterion. These algorithm are described in Frondana (2016) <doi:10.11606/T.45.2018.tde-02022018-151123>.The third one is a greedy algorithm, described in Bresler (2015) <doi:10.1145/2746539.2746631).
Version: | 0.4.2 |
Depends: | gtools, Rfast |
Imports: | Rcpp |
LinkingTo: | Rcpp |
Published: | 2024-10-21 |
DOI: | 10.32614/CRAN.package.mrfse |
Author: | Rodrigo Carvalho [aut, cre], Florencia Leonardi [rev, ths] |
Maintainer: | Rodrigo Carvalho <rodrigorsdc at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | mrfse results |
Reference manual: | mrfse.pdf |
Package source: | mrfse_0.4.2.tar.gz |
Windows binaries: | r-devel: mrfse_0.4.2.zip, r-release: mrfse_0.4.2.zip, r-oldrel: mrfse_0.4.2.zip |
macOS binaries: | r-release (arm64): mrfse_0.4.2.tgz, r-oldrel (arm64): mrfse_0.4.2.tgz, r-release (x86_64): mrfse_0.4.2.tgz, r-oldrel (x86_64): mrfse_0.4.2.tgz |
Old sources: | mrfse 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.