auto_thin: Automatically Thin an emc Object

In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice

Automatically Thin an emc Object

Description

Uses the effective sample size of selection to determine how much to optimally thin an emc object

Usage

## S3 method for class 'emc'
auto_thin(emc, stage = "sample", selection = c("alpha", "mu"), ...)

auto_thin(emc, stage = "sample", selection = c("alpha", "mu"), ...)

Arguments

emc	an emc object.
stage	A character string. Indicates from which sampling stage(s) to take the samples from (i.e. preburn, burn, adapt, sample)
selection	Which parameter types (i.e. 'alpha' or 'mu' to consider when determining the effective sample size)
...	additional optional arguments

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