Package: CRF 0.4-3

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.

Authors:Ling-Yun Wu [aut, cre]

CRF_0.4-3.tar.gz
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CRF.pdf |CRF.html✨
CRF/json (API)

# Install 'CRF' in R:

install.packages('CRF', repos = c('https://wulingyun.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wulingyun/crf/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

Chain - Chain CRF example
Clique - Clique CRF example
Loop - Loop CRF example
Rain - Rain data
Small - Small CRF example
Tree - Tree CRF example

On CRAN:

7.65 score 18 stars 1 packages 166 scripts 341 downloads 38 mentions 48 exports 2 dependencies

Last updated 5 years agofrom:9fef1d137a. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 26 2024
R-4.5-win-x86_64	OK	Oct 26 2024
R-4.5-linux-x86_64	OK	Oct 26 2024
R-4.4-win-x86_64	OK	Oct 26 2024
R-4.4-mac-x86_64	OK	Oct 26 2024
R-4.4-mac-aarch64	OK	Oct 26 2024
R-4.3-win-x86_64	OK	Oct 26 2024
R-4.3-mac-x86_64	OK	Oct 26 2024
R-4.3-mac-aarch64	OK	Oct 26 2024

Exports:clamp.crf clamp.reset crf.nll crf.update decode.block decode.chain decode.conditional decode.cutset decode.exact decode.greedy decode.icm decode.ilp decode.junction decode.lbp decode.marginal decode.rbp decode.sample decode.trbp decode.tree duplicate.crf get.logPotential get.potential infer.chain infer.conditional infer.cutset infer.exact infer.junction infer.lbp infer.rbp infer.sample infer.trbp infer.tree make.crf make.features make.par mrf.nll mrf.stat mrf.update sample.chain sample.conditional sample.cutset sample.exact sample.gibbs sample.junction sample.tree sub.crf train.crf train.mrf

Dependencies:lattice Matrix

CRF Tutorial

Ling-Yun Wu

Rendered fromTutorial.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2019-11-29
Started: 2016-08-27

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
CRF - Conditional Random Fields	CRF-package CRF
Chain CRF example	Chain
Make clamped CRF	clamp.crf
Reset clamped CRF	clamp.reset
Clique CRF example	Clique
Calculate CRF negative log likelihood	crf.nll
Update CRF potentials	crf.update
Decoding method using block iterated conditional modes algorithm	decode.block
Decoding method for chain-structured graphs	decode.chain
Conditional decoding method	decode.conditional
Decoding method for graphs with a small cutset	decode.cutset
Decoding method for small graphs	decode.exact
Decoding method using greedy algorithm	decode.greedy
Decoding method using iterated conditional modes algorithm	decode.icm
Decoding method using integer linear programming	decode.ilp
Decoding method for low-treewidth graphs	decode.junction
Decoding method using loopy belief propagation	decode.lbp
Decoding method using inference	decode.marginal
Decoding method using residual belief propagation	decode.rbp
Decoding method using sampling	decode.sample
Decoding method using tree-reweighted belief propagation	decode.trbp
Decoding method for tree- and forest-structured graphs	decode.tree
Duplicate CRF	duplicate.crf
Calculate the log-potential of CRF	get.logPotential
Calculate the potential of CRF	get.potential
Inference method for chain-structured graphs	infer.chain
Conditional inference method	infer.conditional
Inference method for graphs with a small cutset	infer.cutset
Inference method for small graphs	infer.exact
Inference method for low-treewidth graphs	infer.junction
Inference method using loopy belief propagation	infer.lbp
Inference method using residual belief propagation	infer.rbp
Inference method using sampling	infer.sample
Inference method using tree-reweighted belief propagation	infer.trbp
Inference method for tree- and forest-structured graphs	infer.tree
Loop CRF example	Loop
Make CRF	make.crf
Make CRF features	make.features
Make CRF parameters	make.par
Calculate MRF negative log-likelihood	mrf.nll
Calculate MRF sufficient statistics	mrf.stat
Update MRF potentials	mrf.update
Rain data	Rain
Sampling method for chain-structured graphs	sample.chain
Conditional sampling method	sample.conditional
Sampling method for graphs with a small cutset	sample.cutset
Sampling method for small graphs	sample.exact
Sampling method using single-site Gibbs sampler	sample.gibbs
Sampling method for low-treewidth graphs	sample.junction
Sampling method for tree- and forest-structured graphs	sample.tree
Small CRF example	Small
Make sub CRF	sub.crf
Train CRF model	train.crf
Train MRF model	train.mrf
Tree CRF example	Tree