Package: mixtur
Title: Modelling Continuous Report Visual Short-Term Memory Studies
Version: 1.2.1
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.
NeedsCompilation: no
Packaged: 2023-04-06 10:15:16 UTC; jimgrange
Author: Jim Grange [aut, cre] (<https://orcid.org/0000-0002-8352-8390>),
  Stuart B. Moore [aut] (<https://orcid.org/0000-0002-0747-9304>),
  Ed D. J. Berry [ctb]
Maintainer: Jim Grange <grange.jim@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-06 11:00:02 UTC
Built: R 4.2.0; ; 2023-04-07 13:06:34 UTC; unix
