plot: Plot Convergence for Hierarchical MPT Models

In TreeBUGS: Hierarchical Multinomial Processing Tree Modeling

Plot Convergence for Hierarchical MPT Models

Description

Plot Convergence for Hierarchical MPT Models

Usage

## S3 method for class 'betaMPT'
plot(x, parameter = "mean", type = "default", ...)

## S3 method for class 'simpleMPT'
plot(x, type = "default", ...)

## S3 method for class 'traitMPT'
plot(x, parameter = "mean", type = "default", ...)

Arguments

x	fitted hierarchical MPT model (traitMPT, betaMPT)
parameter	which parameter to plot (e.g., "theta", "mean", "rho", "slope"). Parameters are matched partially, in order to plot all entries of vector valued parameters (see getParam to get a list of parameters). Moreover, parameter labels can be used, e.g., "theta[D]" or "rho[D,g]"
type	type of convergence plot. Can be one of "default" (trace+density), "acf" (auto-correlation function), "trace", "autocorr", "crosscorr","density", "gelman". See plotting functions in the coda package (plot.mcmc.list, acfplot, traceplot, autocorr.plot, crosscorr.plot, densplot, gelman.plot ).
...	further arguments passed to the plotting functions in coda

Methods (by class)

• plot(betaMPT): Plot convergence for beta MPT

• plot(simpleMPT): Plot convergence for nonhierarchical MPT model

• plot(traitMPT): Plot convergence for latent-trait MPT

TreeBUGS documentation built on May 31, 2023, 9:21 p.m.