plot.emc: Plot Function for emc Objects

In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice

Plot Function for emc Objects

Description

Makes trace plots for model parameters.

Usage

## S3 method for class 'emc'
plot(
  x,
  stage = "sample",
  selection = c("mu", "sigma2", "alpha"),
  layout = NA,
  ...
)

Arguments

x	An object of class emc
stage	A character string indicating the sampling stage to be summarized. Can be preburn, burn, adapt, or sample.
selection	A character vector indicating the parameter group(s). Defaults to mu, sigma2, and alpha.
layout	A vector indicating which layout to use as in par(mfrow = layout). If NA, will automatically generate an appropriate layout.
...	Optional arguments that can be passed to get_pars or plot.default (see par())

Details

If an emc object that has not been run with fit yet is supplied prior plots will be returned.

Value

A trace/acf plot of the selected MCMC chains

Examples

plot(samples_LNR)
# Or trace autocorrelation for the second subject:
plot(samples_LNR, subject = 2, selection = "alpha")

# Can also plot the trace of for example the group-level correlation:
plot(samples_LNR, selection = "correlation", col = c("green", "purple", "orange"), lwd = 2)

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