p.df.dmc: Gets Parameter Data Frame

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

Description

Gets parameter data frame (one row for each accumulator) for a design cell (specified by name or index) with model picking out the appropriate elements of par, and function transform.par transforms them appropriately for model specified in model.

Usage

p.df.dmc(model, p.vector, cell, n1order = TRUE)

Arguments

model	a model, created by model.dmc
p.vector	a parameter vector
cell	a string indicating a design cell, e.g., s1.f1.r1
n1order	a boolean switch to use specific LBA ordering for its parameters

Value

rows in natural (r1, r2 etc., used by simulate.dmc) or "n1" order (used by likelihood.dmc)

Examples

m1 <- model.dmc(
  p.map     = list(a="1",v="F",z="1",d="1",sz="1",sv="1", t0="1",st0="1"),
  constants = c(st0=0,d=0),
  match.map = list(M=list(s1="r1",s2="r2")),
  factors   = list(S=c("s1","s2"), F=c("f1", "f2")),
  responses = c("r1","r2"),
  type      = "rd")
pVec <- c(a=1, v.f1=1, v.f2=1.5, z=0.5, sz=0.25, sv=0.2,t0=.15)
p.df.dmc(m1, pVec, "s1.f1.r1", n1order=TRUE)

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