Gibbs Samplers for Discrete Bayesian Spatiotemporal Models


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Documentation for package ‘RSTr’ version 1.1.4

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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