R: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models

# Gibbs Samplers for Discrete Bayesian Spatiotemporal Models

## Documentation for package ‘RSTr’ version 1.2.0

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

## Help Pages

RSTr-package | Gibbs Samplers for Discrete Bayesian Spatiotemporal Models
add_neighbors | Add neighbors to adjacency information
age_standardize | Age-standardize model objects
aggregate_count | Aggregate count arrays
aggregate_samples | Aggregate samples by non-age group
car | Create CAR model
get_credible_interval | Generate medians, credible intervals, and relative precisions
get_estimates | Extract estimates from RSTr model object
get_medians | Generate medians, credible intervals, and relative precisions
get_relative_precision | Generate medians, credible intervals, and relative precisions
load_model | Load model
load_samples | Load MCMC samples
long_to_list_matrix | Generate count data for RSTr object
maexample | Massachusetts Heart Attack Mortality Data
mamap | Massachusetts Shapefile
mcar | Create CAR model
miadj | Michigan Adjacency Data
miheart | Michigan Heart Attack Mortality Data
minsample | Samples Generated for Michigan data
minsplit | Age- and Sex-stratified Samples for Michigan data
mishp | Michigan Shapefile
mstcar | Create CAR model
rcar | Create CAR model
RSTr | Gibbs Samplers for Discrete Bayesian Spatiotemporal Models
split_sample_groups | Split sample groups
standardize_samples | Age-standardize samples
suppress_estimates | Suppress estimates based on reliability criteria
update_model | Update model