compare_subject: Information Criteria For Each Participant

In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice

Information Criteria For Each Participant

Description

Returns the BPIC/DIC based model weights for each participant in a list of samples objects

Usage

compare_subject(
  sList,
  stage = "sample",
  filter = 0,
  use_best_fit = TRUE,
  print_summary = TRUE,
  digits = 3
)

Arguments

sList	List of samples objects
stage	A string. Specifies which stage the samples are to be taken from "preburn", "burn", "adapt", or "sample"
filter	An integer or vector. If it's an integer, iterations up until the value set by filter will be excluded. If a vector is supplied, only the iterations in the vector will be considered.
use_best_fit	Boolean, defaults to TRUE, use minimal likelihood or mean likelihood (whichever is better) in the calculation, otherwise always uses the mean likelihood.
print_summary	Boolean (defaults to TRUE) print table of results
digits	Integer, significant digits in printed table

Value

List of matrices for each subject of effective number of parameters, mean deviance, deviance of mean, DIC, BPIC and associated weights.

Examples

# For a broader illustration see `compare`.
# Here we just take two times the same model, but normally one would compare
# different models
compare_subject(list(m0 = samples_LNR, m1 = samples_LNR))

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