print.pmmh_output: Print method for PMMH output

In bayesSSM: Bayesian Methods for State Space Models

Print method for PMMH output

Description

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, ...)

Arguments

x	An object of class 'pmmh_output'.
...	Additional arguments.

Value

The object 'x' invisibly.

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)

bayesSSM documentation built on June 23, 2025, 5:08 p.m.