Hediger Simon, Loris Michel, Jeffrey Naef
An implementation of Random Forest-based two-sample tests as introduced in Hediger & Michel & Naef (2020) <arXiv:1903.06287>.

Till Doehmen [aut, cre], Hannes Muehleisen [ctb]
A Multi-Hypothesis CSV Parser. Stresses your computer not you.
misc.R encoding.R dialect.R table_area.R row_function.R
col_function.R data_type.R quality_assessment.R parser_full.R

Confidence Intervals and Tests of Statistical Hypotheses
Chengfeng Liu,Huiqing Liu,Yingyan Liang,Ruibin Feng
Compute the confidence interval of the population mean
with one sample or of the difference of population means of two
samples from normal distributions or t-distributions.Compute
the confidence interval of population variance with one sample
or of the difference of population variances of two samples by
chi-square tests.Test for population mean or the differences of
two normal samples under normality with the given null
hypothesis H0,which depends on the user,so that he can know if
he can reject H0 or not at the significance level alpha.Do the
chi-square tests with one or two samples which have multinomial
distributions by using an approximate chi-square distribution
when n is large enough.

Interact with the API for the web annotation service 'Hypothes.is'
(See <http://hypothes.is> for more information.) Allows users to download
data about public annotations, and create, retrieve, update, and delete
their own annotations.

Wrapper for the 'Hypothes.is' Web Annotation Service
Interact with the application programming interface for the web
annotation service 'Hypothes.is' (See <http://hypothes.is> for more
information.) Allows users to download data about public annotations, and
create, retrieve, update, and delete their own annotations.

c(
person(given = "Maximilian M.", family = "Rabe", email = "maximilian.rabe@uni-potsdam.de", role = c("aut","cre"), comment = c(ORCID = "0000-0002-2556-5644")),
person(given = "Shravan", family = "Vasishth", role = c("aut"), comment = c(ORCID = "0000-0003-2027-1994")),
person(given = "Sven", family = "Hohenstein", role = c("aut"), comment = c(ORCID = "0000-0002-9708-1593")),
person(given = "Reinhold", family = "Kliegl", email = "kliegl@uni-potsdam.de", role = c("aut"), comment = c(ORCID = "0000-0002-0180-8488")),
person(given = "Daniel J.", family = "Schad", email = "schad@uni-potsdam.de", role = c("aut"), comment = c(ORCID = "0000-0003-2586-6823")))
Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad, Vasishth, Hohenstein, and Kliegl (2019) <doi:10.1016/j.jml.2019.104038> and Rabe, Vasishth, Hohenstein, Kliegl, and Schad (2020) <doi:10.21105/joss.02134>.