glba
0.2.1General Linear Ballistic Accumulator Models
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Overview
About
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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- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
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- Examples that run
- 100%
- Documented parameters
- 93%
- Return-value docs
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- References docs
- 88%
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R >= 3.1.2
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Listed in earlier versions (1)
no longer listed · 0.2 to 0.2.1
Package Timeline
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
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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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet