R: Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling

# Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling

## Documentation for package ‘glmmfields’ version 0.1.8

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

glmmfields-package | The 'glmmfields' package.
format_data | Format data for fitting a glmmfields model
glmmfields | Fit a spatiotemporal random fields GLMM
half_t | Student-t and half-t priors
lognormal | Lognormal family
loo | Return LOO information criteria
loo.glmmfields | Return LOO information criteria
nbinom2 | Negative binomial family
plot.glmmfields | Plot predictions from an glmmfields model
posterior_linpred | Predict from a glmmfields model
posterior_linpred.glmmfields | Predict from a glmmfields model
posterior_predict | Predict from a glmmfields model
posterior_predict.glmmfields | Predict from a glmmfields model
predict | Predict from a glmmfields model
predict.glmmfields | Predict from a glmmfields model
predictive_interval | Predict from a glmmfields model
predictive_interval.glmmfields | Predict from a glmmfields model
sim_glmmfields | Simulate a random field with a MVT distribution
stan_pars | Return a vector of parameters
student_t | Student-t and half-t priors
tidy | Tidy model output
tidy.glmmfields | Tidy model output