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 |
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 |
macOS binaries: | r-release: MRFcov_1.0.37.tgz, r-oldrel: MRFcov_1.0.37.tgz |
Old sources: | MRFcov archive |
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