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
Imports:
purrr, parallel,
plyr,
ggplot2,
dplyr,
caret,
gridExtra,
magrittr,
Matrix, stats, utils,
reshape2,
sfsmisc,
igraph, grDevices,
pbapply,
mgcv,
MASS
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>
NeedsCompilation:
no
Documentation:
Downloads:
Reverse dependencies:
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