General Linear Ballistic Accumulator Models
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Ingmar Visser <i.visser@uva.nl>’
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Please add one, modifying
Authors@R: person(given = "Ingmar",
family = "Visser",
role = c("aut", "cre"),
email = "i.visser@uva.nl")
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 8includes a package overview page
- Examples that run
- 67%4 run in a plain check · 2 hold no code
- Exported functions with examples
- 100%
- Documented parameters
- 93%
- Return-value docs
- 100%
- Help pages citing references
- 88%
Downloads
Dependencies
Installing glba adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.2.1Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 0.22015-02-16
- RR 3.1.0 released · 2014-04-10
Package metadata
- First published
- 2015-02-16
- Total releases
- 2 / 11 yrs
- License
- GPL
- Minimum R
- ≥ 3.1.2
- Bundled data
- 20 KB / 3 files
- Download size
- 31 KB
Cite
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