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mixtur
View on CRAN: Click
here
Download and install mixtur package within the R console
Install from CRAN:
install.packages("mixtur")
Install from Github:
library("remotes")
install_github("cran/mixtur")
Install by package version:
library("remotes")
install_version("mixtur", "1.2.1")
Attach the package and use:
library("mixtur")
Maintained by
Jim Grange
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-03
Latest Update: 2023-04-06
Description:
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) or the
3-component mixture model of Bays et al. (2009) . Users
are also able to simulate from these models.
How to cite:
Jim Grange (2021). mixtur: Modelling Continuous Report Visual Short-Term Memory Studies. R package version 1.2.1, https://cran.r-project.org/web/packages/mixtur. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.2.0 (2021-08-03 10:00)
Other packages that cited mixtur R package
View mixtur citation profile
Other R packages that mixtur depends,
imports, suggests or enhances
Complete documentation for mixtur
Functions, R codes and Examples using
the mixtur R package
Some associated functions: bays2009_full . bays2009_sample . berry_2019 . fit_mixtur . get_summary_statistics . oberauer_2017 . plot_error . plot_model_fit . plot_model_parameters . plot_summary_statistic . simulate_mixtur .
Some associated R codes: analysing.R . data_descriptions.R . designing.R . modelling.R . plotting.R . simulating.R . utilities.R . Full mixtur package functions and examples
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