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) .


MRFcov 1.0.37

  • More detailed work-throughs of examples in the vignettes
  • Fixed typo in Bird_Parasite_CRF vignette
  • Fixed typo in cv_MRF_diag function
  • Changed the root mean square transformation for Poisson variables to a more appropriate paranormal

MRFcov 1.0.36

  • Improved clarity of function definitions and descriptions
  • Adjusted text size on plotMRF_hm for clearer presentation
  • Improved bootstrap_MRF efficiency to reduce memory usage
  • Added CRAN hyperlink to the GitHub README

MRFcov 1.0.35

  • First release of MRFcov to CRAN

Reference manual

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1.0.37 by Nicholas J Clark, a year ago

Browse source code at

Authors: Nicholas J Clark [aut, cre] , Konstans Wells [aut] , Oscar Lindberg [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports purrr, parallel, plyr, ggplot2, dplyr, caret, gridExtra, magrittr, Matrix, stats, utils, reshape2, sfsmisc, igraph, grDevices, pbapply, mgcv, MASS

Depends on glmnet

Suggests testthat, knitr, rmarkdown

See at CRAN