mcmc.list.dmc: Create a mcmc.list in DMC format

In TasCL/ggdmc: Dynamic Model of Choice with Parallel Computation, and C++ Capabilities

Description

If not hyper, by default changes samples$theta to a mcmc.list object and plots If pll.chain=TRUE changes samples$pll to an mcmc object and plots posterior log-likelihood of chains. If pll.barplot=TRUE plots their means as a barplot. only.prior and only.like pick out one or other component of pll. If hyper same but at the the hyper (phi) level.

Usage

mcmc.list.dmc(samples, hyper = FALSE, start = 1, end = NA,
  save.ll = FALSE, ask = TRUE, main.pll = NULL, pll.chain = FALSE,
  pll.together = TRUE, pll.barplot = FALSE, only.prior = FALSE,
  only.like = FALSE, subject = 1, layout = NA, ...)

Arguments

samples	a data frame stored choice-RT data
hyper	a DMC model
start	starting iteration
end	end iteration
save.ll	whether save log likelihood
ask	Default TRUE
main.pll	Default NULL
pll.chain	Default FALSE
pll.together	Default TRUE
pll.barplot	Default FALSE
only.prior	plot only prior distribution
only.like	plot only likelihood
subject	plot which participant. Default the 1st
layout	graphic layout. Default NA
...	other arguments

TasCL/ggdmc documentation built on May 9, 2019, 4:19 p.m.