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.


CRF is an R package implemented 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.

  • Stable version: The stable version of CRF is available in the following websites:

    • CRAN: https://CRAN.R-project.org/package=CRF

      R users can directly install CRF package in the R terminal using the command install.packages("CRF")

    • R-Forge: http://R-Forge.R-project.org/projects/crf/

      R users can also install CRF package in the R terminal using the command install.packages("CRF", repos="http://R-Forge.R-project.org")

  • Latest beta version: The latest developmental version of CRF can be downloaded from GitHub and installed from source.

    • GitHub: https://github.com/wulingyun/CRF

There are documentation available within package. To read the documents in the R terminal using the command ?CRF

Some examples can be found in the 'tests' directory of package source.

If you use CRF in your package and project, please inform us so that we can add the link here.

  • R Packages
    • Corbi: https://github.com/wulingyun/Corbi

News

Reference manual

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install.packages("CRF")

0.3-14 by Ling-Yun Wu, 25 days ago


https://github.com/wulingyun/CRF


Report a bug at https://github.com/wulingyun/CRF/issues


Browse source code at https://github.com/cran/CRF


Authors: Ling-Yun Wu [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Matrix, Rglpk

Suggests knitr, rmarkdown


Imported by Corbi.


See at CRAN