startlba: Specify and fit lba models.

In glba: General Linear Ballistic Accumulator Models

Description

Specification of lba models with explanatory variables on the parameters. Models are fitted using full information maximum likelihood.

Usage

startlba(rt, resp, ...)

Arguments

rt	A vector of response times.
resp	A vector of (binary) responses.
...	Not currently used.

Details

The startlba function returns a named vector with starting values for the (intercepts) of the parameter models. Currently defined as: the standard deviation of the RTs is used as the standard deviation of the drift rate; the drift rate for the correct responses is initialized as the mean accuracy; the non-decision parameter is set to half the minimum of the response times; the start point parameter is set to drift*(qrt2-nond) where drift is the drift rate, qrt2 the second quartile of the RT distribution, and nond is the non-decision time; the bound is set to drift*(qrt4-nond) where qrt4 is the fourth value of quartiles of the RT distribution.

Value

The startlba function returns a named vector with starting values for the (intercepts) of the parameter models.

Author(s)

Ingmar Visser

Examples

data(bh08)
# remove extreme RTs
bh08 <- bh08[bh08$rt>.180&bh08$rt<2,]
startlba(bh08$rt,bh08$acc)

glba documentation built on May 2, 2019, 4:43 p.m.