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MRFcov (version 1.0.39)

Markov Random Fields with Additional Covariates

Description

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) .

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Install

install.packages('MRFcov')

Monthly Downloads

230

Version

1.0.39

License

GPL-3

Issues

3

Pull Requests

0

Stars

23

Forks

5

Maintainer

Nicholas J Clark

Last Published

April 6th, 2023

Functions in MRFcov (1.0.39)

plotMRF_hm

Plot MRF interaction parameters as a heatmap
prep_MRF_covariates_spatial

Cross-multiply response and covariate variables and build spatial splines
Bird.parasites

Blood parasite occurrences in New Caledonian birds.
bootstrap_MRF

Bootstrap observations to estimate MRF parameter coefficients
MRFcov

Markov Random Fields with covariates
MRFcov_spatial

Spatially structured Markov Random Fields with covariates
prep_MRF_covariates

Cross-multiply response and covariate variables
cv_MRF_diag

MRF cross validation and assessment of predictive performance
predict_MRF

Predict training observations from fitted MRFcov models
predict_MRFnetworks

Extract predicted network metrics for observations in a given dataset using equations from a fitted MRFcov object