BuildModel: Create a model object

In ggdmc: Cognitive Models

Description

A model object consists of arraies with model attributes.

Usage

BuildModel(p.map, responses, factors = list(A = "1"), match.map = NULL,
  constants = numeric(0), type = "norm", posdrift = TRUE,
  verbose = TRUE)

## S3 method for class 'model'
print(x, p.vector = NULL, ...)

## S3 method for class 'dmi'
print(x, ...)

Arguments

p.map	parameter map. This option maps a particular factorial design to model parameters
responses	specifying the response names and levels
factors	specifying a list of factors and their levels
match.map	match map. This option matches stimuli and responses
constants	specifying the parameters with fixed values
type	specifying model type, either "rd" or "norm".
posdrift	a Boolean, switching between enforcing strict postive drift rates by using truncated normal distribution. This option is only useful in "norm" model type.
verbose	Print p.vector, constants and model type
x	a model object
p.vector	parameter vector
...	other arguments

Examples

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

ggdmc documentation built on May 2, 2019, 9:59 a.m.