Package: glba 0.2.1
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.
Authors:
glba_0.2.1.tar.gz
glba_0.2.1.zip(r-4.7-any)glba_0.2.1.zip(r-4.6-any)glba_0.2.1.zip(r-4.5-any)
glba_0.2.1.tgz(r-4.6-any)glba_0.2.1.tgz(r-4.5-any)
glba_0.2.1.tar.gz(r-4.7-any)glba_0.2.1.tar.gz(r-4.6-any)
glba_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
glba/json (API)
| # Install 'glba' in R: |
| install.packages('glba', repos = c('https://ingmarvisser.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2e43a7bd8c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 101 | ||
| source / vignettes | OK | 194 | ||
| linux-release | OK | 84 | ||
| macos-release | OK | 99 | ||
| macos-oldrel | OK | 91 | ||
| windows-devel | OK | 60 | ||
| windows-release | OK | 64 | ||
| windows-oldrel | OK | 59 | ||
| wasm-release | OK | 84 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit LBA models with explanatory variables. | glba-package glba |
| Example data from Brown and Heathcote (2008). | bh08 |
| Core functions to compute the probability density function, cumulative distribution function, and defective distribution of the LBA (see Brown and Heathcote, 2008). | fptcdf fptpdf n1PDF |
| Implicit learning data from Visser et al (2007). | ilpp2 |
| Utility functions for internal use. | getPars obj pmod predict.pmod predpmod print.pmod reorderDrift setPars summary.pmod |
| Specify and fit lba models. | lba logLik.lba print.lba summary.lba tablba |
| Example data from a numerosity task. | numpp1 |
| Generate data from an LBA model. | rlba |