CRF: Conditional Random Fields

Implements modeling and computational tools for conditional random fields (CRF) model as well as other probabilistic undirected graphical models of discrete data with pairwise and unary potentials.

Version: 0.4-3
Depends: R (≥ 3.0.0)
Imports: Matrix
Suggests: knitr, rmarkdown, Rglpk
Published: 2019-12-01
Author: Ling-Yun Wu [aut, cre]
Maintainer: Ling-Yun Wu <wulingyun at gmail.com>
BugReports: https://github.com/wulingyun/CRF/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/wulingyun/CRF
NeedsCompilation: yes
Materials: README
CRAN checks: CRF results

Documentation:

Reference manual: CRF.pdf
Vignettes: CRF Tutorial

Downloads:

Package source: CRF_0.4-3.tar.gz
Windows binaries: r-devel: CRF_0.4-3.zip, r-release: CRF_0.4-3.zip, r-oldrel: CRF_0.4-3.zip
macOS binaries: r-release (arm64): CRF_0.4-3.tgz, r-oldrel (arm64): CRF_0.4-3.tgz, r-release (x86_64): CRF_0.4-3.tgz, r-oldrel (x86_64): CRF_0.4-3.tgz
Old sources: CRF archive

Reverse dependencies:

Reverse imports: Corbi

Linking:

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