c(person("Tyler","Littlefield",email="tylerlittlefield@hey.com",role=c("aut","cre"),comment="Creator of Shiny Wrapper"),
person("Ian","Lunn",role=c("ctb","cph"),comment="Author of included CSS code"),
person("Danube", "Huynhle",role=c("ctb")))
Tyler Littlefield [aut, cre] (Creator of Shiny Wrapper),
Ian Lunn [ctb, cph] (Author of included CSS code),
Danube Huynhle [ctb]

Calculate How many Imputations are Needed for Multiple
Imputation
When performing multiple imputations, while 5-10 imputations are
sufficient for obtaining point estimates, a larger number of
imputations are needed for proper standard error estimates.
This package allows you to calculate how many imputations are
needed, following the work of von Hippel 2018
<doi:10.1177/0049124117747303>.
person("Josh", "Errickson", email = "jerrick@umich.edu",
role = c("aut", "cre"))
testthat (>= 2.1.0), roxygen2, jomo, mitools

When performing multiple imputations, while 5-10 imputations are
sufficient for obtaining point estimates, a larger number of
imputations are needed for proper standard error estimates.
This package allows you to calculate how many imputations are
needed, following the work of von Hippel (2020)
<doi:10.1177/0049124117747303>.

c(
person("Ashley", "Baldry", email = "arbaldry91@gmail.com", role = c("aut", "cre")),
person("James", "Simpson", role = "aut", comment = "Creator of howler.js")
)
Audio interactivity within 'shiny' applications using 'howler.js'. Enables the
status of the audio player to be sent from the UI to the server, and events such as
playing and pausing the audio can be triggered from the server.
rmarkdown, knitr, shinytest2, globals, testthat (>= 3.0.0)
Ashley Baldry [aut, cre],
James Simpson [aut] (Creator of howler.js)

A lower bound for the number of correct rejections
When testing multiple hypotheses simultaneously,
this package provides functionality to calculate a lower bound for the
number of correct rejections (as a function of the number of rejected
hypotheses), which holds simultaneously -with high probability- for all
possible number of rejections.
As a special case, a lower bound for the total number of false null
hypotheses can be inferred.
Dependent test statistics can be handled for multiple tests of
associations. For independent test statistics, it is sufficient to
provide a list of p-values.