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glba (version 0.2.1)

General Linear Ballistic Accumulator Models

Description

Analyses response times and accuracies from psychological experiments with the linear ballistic accumulator (LBA) model from Brown and Heathcote (2008). The LBA model is optionally fitted with explanatory variables on the parameters such as the drift rate, the boundary and the starting point parameters. A log-link function on the linear predictors can be used to ensure that parameters remain positive when needed.

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Version

Install

install.packages('glba')

Monthly Downloads

786

Version

0.2.1

License

GPL

Maintainer

Ingmar Visser

Last Published

May 2nd, 2022

Functions in glba (0.2.1)

lba

Specify and fit lba models.
core

Core functions to compute the probability density function, cumulative distribution function, and defective distribution of the LBA (see Brown and Heathcote, 2008).
internal

Utility functions for internal use.
rlba

Generate data from an LBA model.
ilpp2

Implicit learning data from Visser et al (2007).
bh08

Example data from Brown and Heathcote (2008).
numpp1

Example data from a numerosity task.
glba-package

Fit LBA models with explanatory variables.