get_estimates: Extract estimates from RSTr model object

In RSTr: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models

Extract estimates from RSTr model object

Description

Gathers model and estimate information for an RSTr model object, exported as a long table. Estimate rates and their respective credible intervals are displayed by default in rates per 100,000.

Usage

get_estimates(RSTr_obj, rates_per = 1e+05, standardized = TRUE)

Arguments

RSTr_obj	An RSTr model object.
rates_per	The desired scaling for estimate rates.
standardized	If RSTr_obj contains age-standardized rates, shows the age-standardized rates. If set to FALSE, always shows the non-age-standardized rates.

Value

A long table containing region/group/time period names, estimates, credible intervals, relative precisions, and the associated event/population counts.

Examples

std_pop <- c(113154, 100640, 95799)
data_min <- lapply(miheart, \(x) x[1:2, 1:3, 1:3])
adj_min <- list(2, 1)
on.exit(unlink(file.path(tempdir(), "test"), recursive = TRUE), add = TRUE)
mod_mst <- mstcar("test", data_min, adj_min, tempdir(), show_plots = FALSE, verbose = FALSE)
estimates_table <- get_estimates(mod_mst)
mod_mst <- age_standardize(mod_mst, std_pop, "35-64")
estimates_table_as <- get_estimates(mod_mst)

RSTr documentation built on Jan. 31, 2026, 9:07 a.m.