ess_summary: Effective Sample Size

In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice

Effective Sample Size

Description

Returns the effective sample size (ESS) of the selected parameter type. Full range of possible samples manipulations described in get_pars.

Usage

## S3 method for class 'emc'
ess_summary(
  emc,
  selection = "mu",
  stat = "min",
  stat_only = FALSE,
  digits = 1,
  ...
)

ess_summary(emc, ...)

Arguments

emc	An emc object
selection	A Character vector. Indicates which parameter types to check (e.g., alpha, mu, sigma2, correlation).
stat	A string. Should correspond to a function that can be applied to a vector, which will be performed on the vector/rows or columns of the matrix of the parameters
stat_only	Boolean. If TRUE will only return the result of the applied stat function, otherwise returns both the stat result and the result of the function on all parameters.
digits	Integer. How many digits to round the output to
...	Optional additional arguments that can be passed to get_pars

Value

A matrix or vector of ESS values for the selected parameter type.

Examples

ess_summary(samples_LNR, selection = "alpha")

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