mixtur: Modelling Continuous Report Visual Short-Term Memory Studies
A set of utility functions for analysing and modelling data from continuous report short-term memory experiments using either the 2-component mixture model of Zhang and Luck (2008) <doi:10.1038/nature06860> or the 3-component mixture model of Bays et al. (2009) <doi:10.1167/9.10.7>. Users are also able to simulate from these models.
| Version: | 1.2.2 |
| Depends: | R (≥ 4.0) |
| Imports: | dplyr,ggplot2,rlang,tidyr |
| Suggests: | knitr,rmarkdown |
| Published: | 2025-07-21 |
| DOI: | 10.32614/CRAN.package.mixtur |
| Author: | Jim Grange [aut, cre], Stuart B. Moore [aut], Ed D. J. Berry [ctb], Vencislav Popov [ctb] |
| Maintainer: | Jim Grange <grange.jim at gmail.com> |
| BugReports: | https://github.com/JimGrange/mixtur/issues |
| License: | GPL-3 |
| Copyright: | Some functions have been adapted from Matlab code written byPaul Bays (https://bayslab.com) published under GNU GeneralPublic License. |
| URL: | https://github.com/JimGrange/mixtur |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | mixtur results |
Documentation:
| Reference manual: | mixtur.html ,mixtur.pdf |
Downloads:
| Package source: | mixtur_1.2.2.tar.gz |
| Windows binaries: | r-devel:mixtur_1.2.2.zip, r-release:mixtur_1.2.2.zip, r-oldrel:mixtur_1.2.2.zip |
| macOS binaries: | r-release (arm64):mixtur_1.2.2.tgz, r-oldrel (arm64):mixtur_1.2.2.tgz, r-release (x86_64):mixtur_1.2.2.tgz, r-oldrel (x86_64):mixtur_1.2.2.tgz |
| Old sources: | mixtur archive |
Reverse dependencies:
| Reverse suggests: | bmm |
Linking:
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