model.dmc: Creating a Model Object

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

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")

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