Package: mixtur 1.2.1.9000
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.
Authors:
mixtur_1.2.1.9000.tar.gz
mixtur_1.2.1.9000.zip(r-4.5)mixtur_1.2.1.9000.zip(r-4.4)mixtur_1.2.1.9000.zip(r-4.3)
mixtur_1.2.1.9000.tgz(r-4.4-any)mixtur_1.2.1.9000.tgz(r-4.3-any)
mixtur_1.2.1.9000.tar.gz(r-4.5-noble)mixtur_1.2.1.9000.tar.gz(r-4.4-noble)
mixtur_1.2.1.9000.tgz(r-4.4-emscripten)mixtur_1.2.1.9000.tgz(r-4.3-emscripten)
mixtur.pdf |mixtur.html✨
mixtur/json (API)
NEWS
| # Install 'mixtur' in R: |
| install.packages('mixtur', repos = c('https://jimgrange.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jimgrange/mixtur/issues
- bays2009_full - Full data set from Bays et al.
- bays2009_sample - Sample data set from Bays et al.
- berry_2019 - Data set from Berry et al.
- oberauer_2017 - Data set from Oberauer & Lin
Last updated 2 years agofrom:c6a21cd9bb. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
| R-4.4-win | OK | Oct 27 2024 |
| R-4.4-mac | OK | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Exports:fit_mixturget_summary_statisticsplot_errorplot_model_fitplot_model_parametersplot_summary_statisticsimulate_mixtur
Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Full data set from Bays et al. (2009) | bays2009_full |
| Sample data set from Bays et al. (2009) | bays2009_sample |
| Data set from Berry et al. (2019) | berry_2019 |
| Fit the mixture model. | fit_mixtur |
| Obtain summary statistics of response error | get_summary_statistics |
| Data set from Oberauer & Lin (2017) | oberauer_2017 |
| Plot response error of behavioural data relative to target values. | plot_error |
| Plot model fit against human error data (target errors) | plot_model_fit |
| Plot best-fitting parameters of model fit | plot_model_parameters |
| Plot summary statistics of behavioural data | plot_summary_statistic |
| Generate simulated data from mixture models | simulate_mixtur |
