glba: General Linear Ballistic Accumulator Models

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.

Version:	0.2.1
Depends:	R (≥ 3.1.2)
Published:	2022-05-02
DOI:	10.32614/CRAN.package.glba
Author:	Ingmar Visser
Maintainer:	Ingmar Visser <i.visser at uva.nl>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	no
CRAN checks:	glba results

Documentation:

Reference manual:

glba.html , glba.pdf

Downloads:

Package source:	glba_0.2.1.tar.gz
Windows binaries:	r-devel: glba_0.2.1.zip, r-release: glba_0.2.1.zip, r-oldrel: glba_0.2.1.zip
macOS binaries:	r-release (arm64): glba_0.2.1.tgz, r-oldrel (arm64): glba_0.2.1.tgz, r-release (x86_64): glba_0.2.1.tgz, r-oldrel (x86_64): glba_0.2.1.tgz
Old sources:	glba archive

Reverse dependencies:

Reverse suggests:

rtdists

Linking:

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