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>).
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

Mixtures of von Mises Fisher Distributions
Fit and simulate mixtures of von Mises Fisher
distributions.

Mixtures of von Mises-Fisher Distributions
Fit and simulate mixtures of von Mises-Fisher
distributions.

c(person("Kurt", "Hornik", role = c("aut", "cre"), email =
"Kurt.Hornik@R-project.org"), person("Bettina", "Grün", role =
"aut"))
Kurt Hornik [aut, cre], Bettina Grün [aut]

lattice, slam, tm (>= 0.5-8.5), vcd, SnowballC

c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Bettina", "Grün", role = "aut"))
Fit and simulate mixtures of von Mises-Fisher distributions.
lattice, tm (>= 0.5-8.5), vcd, SnowballC, HSAUR2, colorspace
Kurt Hornik [aut, cre],
Bettina Grün [aut]

lattice, tm (>= 0.5-8.5), vcd, SnowballC, HSAUR2, colorspace,
corpus.useR.2008.abstracts

lattice, tm (>= 0.6-2), vcd, SnowballC, HSAUR2, colorspace,
corpus.useR.2008.abstracts

c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org",
comment = c(ORCID = "0000-0003-4198-9911")),
person("Bettina", "Grün", role = "aut",
comment = c(ORCID = "0000-0001-7265-4773")))

lattice, tm (>= 0.7-5), vcd, SnowballC, HSAUR2, colorspace,
corpus.useR.2008.abstracts

lattice, tm (>= 0.7-5), vcd, SnowballC, HSAUR3, colorspace,
corpus.useR.2008.abstracts, flexmix (>= 2.3-17), methods