Package: mixtur Title: Modelling Continuous Report Visual Short-Term Memory Studies Version: 1.2.3.9999 Date: 2026-03-12 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") ), person( given = "Vencislav", family = "Popov", role = c("ctb"), comment = c(ORCID = "0000-0002-8073-4199") )) 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. Depends: R (>= 4.0) Imports: dplyr (>= 1.2.0), 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: 7.3.2 Copyright: Some functions have been adapted from Matlab code written by Paul Bays (https://bayslab.com) published under GNU General Public License. Config/pak/sysreqs: libicu-dev Repository: https://jimgrange.r-universe.dev Date/Publication: 2026-03-12 07:12:31 UTC RemoteUrl: https://github.com/jimgrange/mixtur RemoteRef: HEAD RemoteSha: 7aa757678b15819cfe0a0e3835b02d2431c500e7 NeedsCompilation: no Packaged: 2026-06-10 08:23:24 UTC; root Author: Jim Grange [aut, cre] (ORCID: ), Stuart B. Moore [aut] (ORCID: ), Ed D. J. Berry [ctb], Vencislav Popov [ctb] (ORCID: ) Maintainer: Jim Grange