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: 1.0.39
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: 2023年04月06日
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
NeedsCompilation: no
Materials: NEWS
CRAN checks: MRFcov results

Documentation:

Reference manual: MRFcov.html , MRFcov.pdf

Downloads:

Package source: MRFcov_1.0.39.tar.gz
Windows binaries: r-devel: MRFcov_1.0.39.zip, r-release: MRFcov_1.0.39.zip, r-oldrel: MRFcov_1.0.39.zip
macOS binaries: r-release (arm64): MRFcov_1.0.39.tgz, r-oldrel (arm64): MRFcov_1.0.39.tgz, r-release (x86_64): MRFcov_1.0.39.tgz, r-oldrel (x86_64): MRFcov_1.0.39.tgz
Old sources: MRFcov archive

Reverse dependencies:

Reverse suggests: mrIML

Linking:

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