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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