Package: mousetrap
Type: Package
Version: 3.2.1
Date: 2022-01-03
Title: Process and Analyze Mouse-Tracking Data
Description: Mouse-tracking, the analysis of mouse movements in computerized
    experiments, is a method that is becoming increasingly popular in the
    cognitive sciences. The mousetrap package offers functions for importing,
    preprocessing, analyzing, aggregating, and visualizing mouse-tracking data.
    An introduction into mouse-tracking analyses using mousetrap can be found
    in Wulff, Kieslich, Henninger, Haslbeck, & Schulte-Mecklenbeck (2021)
    <doi:10.31234/osf.io/v685r> (preprint: <https://psyarxiv.com/v685r>).
Maintainer: Pascal J. Kieslich <pascal.kieslich@gmail.com>
Authors@R: c(
    person(c("Pascal","J."), "Kieslich", role= c("aut", "cre"),
            email= "pascal.kieslich@gmail.com",
            comment = c(ORCID = "0000-0002-0853-9364")),
    person(c("Dirk","U."), "Wulff", role = "aut",
    		email = "dirk.wulff@gmail.com",
    		comment = c(ORCID = "0000-0002-4008-8022")),
    person("Felix", "Henninger", role = "aut",
        email= "mailbox@felixhenninger.com",
        comment = c(ORCID = "0000-0002-7730-9511")),
    person(c("Jonas","M. B."), "Haslbeck", role = "aut",
    		email = "jonas.haslbeck@googlemail.com"),
    person("Sarah", "Brockhaus", role = "ctb")
    )
URL: https://github.com/pascalkieslich/mousetrap
BugReports: https://github.com/pascalkieslich/mousetrap/issues
License: GPL-3
Depends: R (>= 3.1.0),
Imports: utils, stats, pracma, dplyr (>= 0.5.0), tidyr, magrittr,
        graphics, grDevices, ggplot2, scales, psych (>= 1.2.4), Rcpp
        (>= 0.11.4), diptest, RColorBrewer, cstab, fastcluster,
        parallel, fields, rlang, lifecycle
Suggests: readbulk, testthat
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2022-01-03 10:23:36 UTC; Pascal
Author: Pascal J. Kieslich [aut, cre] (<https://orcid.org/0000-0002-0853-9364>),
  Dirk U. Wulff [aut] (<https://orcid.org/0000-0002-4008-8022>),
  Felix Henninger [aut] (<https://orcid.org/0000-0002-7730-9511>),
  Jonas M. B. Haslbeck [aut],
  Sarah Brockhaus [ctb]
Repository: CRAN
Date/Publication: 2022-01-03 10:40:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-18 05:54:31 UTC; windows
Archs: i386, x64
