Bayesian Spatial and Space-Time Linear Mixed Models

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Documentation for package ‘stLMM’ version 0.0.2

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package README

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