ggdmc (version 0.1.3.9)

model.dmc: Creating a Model Object

Description

model.dmc Creates an array object ("model") with a set of attributes specifying a particular model and parameterisation. Call coda to summarise the model parameters in a DMC samples with multiple participants at the hyper level.

Usage

model.dmc(p.map, factors = list(S = c("s1", "s2")), responses = c("r1",
  "r2"), match.map = list(M = list(s1 = 1, s2 = 2)), constants = numeric(0),
  type = "norm", posdrift = TRUE, verbose = TRUE)

Arguments

p.map

list factors and constants for parameters

factors

Factor names and levels

responses

Response (accumulator) names

match.map

Scores responses

constants

Parameters set to constant value

type

model type. Should go to class in the future

posdrift

only used by norm (ie LBA model)

verbose

Print p.vector, constants and type

Details

model.dmc creates a matrix used by get.par.mat to arrange elements of a parameter vector appropriately. The attributes of output used by get.par.mat to add in constants and check transform.par creates the right parameters.

Examples

m1 <- model.dmc(
   p.map     = list(a="1",v="F",z="1",d="1",sz="1",sv="1",t0="1",st0="1"),
   match.map = list(M=list(s1="r1",s2="r2")),
   factors=list(S=c("s1","s2"), F=c("f1","f2")),
   constants = c(st0=0,d=0),
   responses = c("r1","r2"),
   type = "rd")