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Description

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.

README

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.

How to install?

  • 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

How to use?

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.

R Packages that uses CRF

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.
Metadata

Version

0.4-3

License

Unknown

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