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: | 1.2.1 |
| Depends: | R (≥ 4.0) |
| Imports: | dplyr, ggplot2, rlang, tidyr |
| Suggests: | knitr, rmarkdown |
| Published: | 2023-04-06 |
| DOI: | 10.32614/CRAN.package.mixtur |
| Author: | Jim Grange  [aut,
cre],
Stuart B. Moore
[aut],
Ed D. J. Berry [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 by Paul Bays (https://bayslab.com) published under GNU General Public License. |
| URL: | https://github.com/JimGrange/mixtur |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | mixtur results |
Documentation:
| Reference manual: | mixtur.pdf |
Downloads:
| Package source: | mixtur_1.2.1.tar.gz |
| Windows binaries: | r-devel: mixtur_1.2.1.zip, r-release: mixtur_1.2.1.zip, r-oldrel: mixtur_1.2.1.zip |
| macOS binaries: | r-release (arm64): mixtur_1.2.1.tgz, r-oldrel (arm64): mixtur_1.2.1.tgz, r-release (x86_64): mixtur_1.2.1.tgz, r-oldrel (x86_64): mixtur_1.2.1.tgz |
| Old sources: | mixtur archive |
Reverse dependencies:
| Reverse suggests: | bmm |
Linking:
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