MRFcov: Markov Random Fields with Additional Covariates

Approximate node interaction parameters of Markov Random Fields graphical networks. Models can incorporate additional covariates, allowing users to estimate how interactions between nodes in the graph are predicted to change across covariate gradients. The general methods implemented in this package are described in Clark et al. (2018) <doi:10.1002/ecy.2221>.

Version: 1.0.37
Depends: R (≥ 3.3.3), glmnet
Imports: purrr, parallel, plyr, ggplot2, dplyr, caret, gridExtra, magrittr, Matrix, stats, utils, reshape2, sfsmisc, igraph, grDevices, pbapply, mgcv, MASS
Suggests: testthat, knitr, rmarkdown
Published: 2019-04-10
Author: Nicholas J Clark [aut, cre], Konstans Wells [aut], Oscar Lindberg [aut]
Maintainer: Nicholas J Clark <nicholas.j.clark1214 at gmail.com>
License: GPL-3
URL: https://github.com/nicholasjclark/MRFcov
NeedsCompilation: no
Citation: MRFcov citation info
Materials: NEWS
CRAN checks: MRFcov results

Downloads:

Reference manual: MRFcov.pdf
Vignettes: MRFs and CRFs for Bird.parasites data
Prepping datasets for CRF models
Gaussian and Poisson CRFs
Package source: MRFcov_1.0.37.tar.gz
Windows binaries: r-devel: MRFcov_1.0.37.zip, r-release: MRFcov_1.0.37.zip, r-oldrel: MRFcov_1.0.37.zip
OS X binaries: r-release: MRFcov_1.0.37.tgz, r-oldrel: MRFcov_1.0.37.tgz
Old sources: MRFcov archive

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