ggdmc (version 0.1.3.9)

prior.p.dmc: Makes a list of prior distribution parameters.

Description

prior.p.dmc creates a list of prior distribution an array object ("model") with a set of attributes specifying a particular model and parameterization. Call coda to summarise the model parameters in a DMC samples with multiple participants at the hyper level.

Usage

prior.p.dmc(p1, p2, lower = rep(NA, length(p1)), upper = rep(NA,
  length(p1)), dists = rep("tnorm", length(p1)), untrans = rep("identity",
  length(p1)), dist.types = c("tnorm", "beta", "gamma", "lnorm", "constant"))

Arguments

p1

the values of location parameters for each prior distribution, set as a double vector

p2

ditto for scale parameter vector

lower

lower support boundary

upper

upper support boundary

dists

indicate which prior distribution, e.g., uniform, beta etc.

untrans

whether do log transformation or not. Default is identity, namely not to transform

dist.types

allowed prior distributions in current version of DMC