# Bayesian Spatial and Space-Time Linear Mixed Models

## Documentation for package ‘stLMM’ version 0.0.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

ar1 | stLMM formula terms
as_mcmc | Convert stLMM samples to coda objects
as_mcmc.stLMM | Convert stLMM samples to coda objects
as_mcmc.stLMM_chains | Convert stLMM samples to coda objects
as_mcmc.stLMM_recovery | Convert stLMM samples to coda objects
as_mcmc.stLMM_recovery_chains | Convert stLMM samples to coda objects
as_samples | Collect stLMM posterior samples in a data frame
beta_dist | Prior constructors for stLMM
car | stLMM formula terms
car_graph | Build a CAR adjacency graph
car_time | stLMM formula terms
dagar | stLMM formula terms
dagar_time | stLMM formula terms
fitted.stLMM | Posterior fitted values for an stLMM fit
fixed | Prior constructors for stLMM
flat | Prior constructors for stLMM
gamma_dist | Prior constructors for stLMM
get_cor_models | List supported covariance models
gp | stLMM formula terms
half_normal | Prior constructors for stLMM
half_t | Prior constructors for stLMM
ig | Prior constructors for stLMM
iid | stLMM formula terms
log_lik | Pointwise log likelihood and WAIC
log_lik.stLMM | Pointwise log likelihood and WAIC
log_lik.stLMM_chains | Pointwise log likelihood and WAIC
log_lik.stLMM_recovery | Pointwise log likelihood and WAIC
log_lik.stLMM_recovery_chains | Pointwise log likelihood and WAIC
log_normal | Prior constructors for stLMM
nngp | stLMM formula terms
normal | Prior constructors for stLMM
plot.stLMM | Print, summarize, and plot stLMM objects
plot.stLMM_car_graph | Build a CAR adjacency graph
plot.stLMM_chains | Print, summarize, and plot stLMM objects
plot.stLMM_graph | Build a CAR adjacency graph
plot.stLMM_prediction | Print, summarize, and plot stLMM objects
plot.stLMM_prediction_chains | Print, summarize, and plot stLMM objects
plot.stLMM_recovery | Print, summarize, and plot stLMM objects
plot.stLMM_recovery_chains | Print, summarize, and plot stLMM objects
predict.stLMM | Posterior prediction from recovered stLMM fits
predict.stLMM_chains | Posterior prediction from recovered stLMM fits
predict.stLMM_recovery | Posterior prediction from recovered stLMM fits
predict.stLMM_recovery_chains | Posterior prediction from recovered stLMM fits
print.stLMM | Print, summarize, and plot stLMM objects
print.stLMM_chains | Print, summarize, and plot stLMM objects
print.stLMM_prediction | Print, summarize, and plot stLMM objects
print.stLMM_recovery | Print, summarize, and plot stLMM objects
recover | Recover latent process draws
recover.stLMM | Recover latent process draws
recover.stLMM_chains | Recover latent process draws
resid | Residual variance formula term
stLMM | Fit a Bayesian mixed model with structured latent processes
stLMM-priors | Prior constructors for stLMM
stLMM-terms | stLMM formula terms
stLMM_priors | Prior constructors for stLMM
stLMM_terms | stLMM formula terms
stunitco | FIA state, unit, and county polygons
summary.stLMM | Print, summarize, and plot stLMM objects
summary.stLMM_chains | Print, summarize, and plot stLMM objects
summary.stLMM_prediction | Print, summarize, and plot stLMM objects
summary.stLMM_recovery | Print, summarize, and plot stLMM objects
summary.stLMM_recovery_chains | Print, summarize, and plot stLMM objects
uniform | Prior constructors for stLMM
waic | Pointwise log likelihood and WAIC
waic.default | Pointwise log likelihood and WAIC
waic.stLMM | Pointwise log likelihood and WAIC
waic.stLMM_chains | Pointwise log likelihood and WAIC
waic.stLMM_recovery | Pointwise log likelihood and WAIC
waic.stLMM_recovery_chains | Pointwise log likelihood and WAIC