Displays a concise summary of parameter estimates from a PMMH output object, including means, standard deviations, medians, 95% credible intervals, effective sample sizes (ESS), and Rhat. This provides a quick overview of the posterior distribution and convergence diagnostics.
Usage
# S3 method for class 'pmmh_output'
print(x, ...)
Examples
# Create dummy chains for two parameters across two chains
chain1 <- data.frame(param1 = rnorm(100), param2 = rnorm(100), chain = 1)
chain2 <- data.frame(param1 = rnorm(100), param2 = rnorm(100), chain = 2)
dummy_output <- list(
theta_chain = rbind(chain1, chain2),
diagnostics = list(
ess = c(param1 = 200, param2 = 190),
rhat = c(param1 = 1.01, param2 = 1.00)
)
)
class(dummy_output) <- "pmmh_output"
print(dummy_output)
#> PMMH Results Summary:
#> Parameter Mean SD Median 2.5% 97.5% ESS Rhat
#> param1 0.02 1.06 0.04 -1.98 2.00 200 1.01
#> param2 0.12 1.00 0.10 -1.88 2.04 190 1.00