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DESCRIPTION
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DESCRIPTION
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Package: mixtur
Title: Modelling Continuous Report Visual Short-Term Memory Studies
Version: 1.2.1.9000
Date: 2023-04-06
Authors@R: c(
person(
given = "Jim",
family = "Grange",
role = c("aut", "cre"),
email = "grange.jim@gmail.com",
comment = c(ORCID = "0000-0002-8352-8390")
),
person(
given = "Stuart B.",
family = "Moore",
role = c("aut"),
comment = c(ORCID = "0000-0002-0747-9304")
),
person(
given = "Ed D. J.",
family = "Berry",
role = c("ctb")
))
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) <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.
Depends:
R (>= 4.0)
Imports:
dplyr,
ggplot2,
rlang,
tidyr
Suggests: knitr, rmarkdown
License: GPL-3
LazyData: true
URL: https://github.com/JimGrange/mixtur
BugReports: https://github.com/JimGrange/mixtur/issues
Encoding: UTF-8
RoxygenNote: 7.2.1
Copyright: Some functions have been adapted from Matlab code written by Paul Bays (https://bayslab.com) published under GNU General Public License.