summary.emc: Summary Statistics for emc Objects

In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice

Summary Statistics for emc Objects

Description

Computes quantiles, Rhat and ESS for selected model parameters.

Usage

## S3 method for class 'emc'
summary(
  object,
  selection = c("mu", "sigma2", "alpha"),
  probs = c(0.025, 0.5, 0.975),
  digits = 3,
  ...
)

Arguments

object	An object of class emc
selection	A character string indicating the parameter type Defaults to mu, sigma2, and alpha. See below for more information.
probs	The quantiles to be computed. Defaults to the the 2.5%, 50% and 97.5% quantiles.
digits	An integer specifying rounding of output.
...	Optional arguments that can be passed to get_pars

Details

Note that if selection = alpha and by_subject = TRUE (default) is used, summary statistics are computed at the individual level. to the console but summary statistics for all subjects are returned by the function.

If an emc object that has not been run with fit yet is supplied, summary of the design will be returned.

Value

A list of summary output.

EMC2 documentation built on April 11, 2025, 5:50 p.m.