rhat.mcmcr: R-hat

In mcmcr: Manipulate MCMC Samples

Description

Calculates an R-hat (potential scale reduction factor) value.

Usage

## S3 method for class 'mcmcr'
rhat(x, by = "all", as_df = FALSE, na_rm = FALSE, ...)

Arguments

x	An object.
by	A string indicating whether to determine by "term", "parameter" or "all".
as_df	A flag indicating whether to return the results as a data frame versus a named list.
na_rm	A flag specifying whether to ignore missing values.
...	Other arguments passed to methods.

Details

By default the uncorrected, unfolded, univariate, split R-hat value.

Value

A number >= 1 indicating the rhat value.

References

Gelman, A., and Rubin, D.B. 1992. Inference from Iterative Simulation Using Multiple Sequences. Statistical Science 7(4): 457–472.

See Also

Other convergence: converged_pars(), converged_terms(), converged(), esr_pars(), esr_terms(), esr(), rhat_pars(), rhat_terms()

Examples

rhat(mcmcr_example)
rhat(mcmcr_example, by = "parameter")
rhat(mcmcr_example, by = "term")
rhat(mcmcr_example, by = "term", as_df = TRUE)

mcmcr documentation built on Sept. 7, 2021, 1:07 a.m.