Dual empirical likelihood inference under density ratio models
for multiple samples
Dual empirical likelihood (DEL) inference under semiparametric density ratio models (DRM) for multiple samples, including quantile estimatoin, density estimation, composite hypothesis testing of the equality of distributoin functions, etc.

Dual empirical likelihood (DEL) inference under semiparametric density ratio models (DRM) for multiple samples, including quantile estimation and comparison, density estimation, composite hypothesis testing for changes in distribution functions, etc.

Dual Empirical Likelihood Inference under Density Ratio Models
in the Presence of Multiple Samples
Dual empirical likelihood (DEL) inference under semiparametric density ratio models (DRM) in the presence of multiple samples, including population cumulative distribution function estimation, quantile estimation and comparison, density estimation, composite hypothesis testing for DRM parameters which encompasses testing for changes in population distribution functions as a special case, etc.

Dual empirical likelihood inference under density ratio models
in the presence of multiple samples

c(person(given = "C.",
family = "Lente",
role = c("aut", "cre"),
email = "clente@curso-r.com"),
person(given = "Curso-R",
role = c("cph", "fnd")))
A toolkit for parsing dice notation, analyzing rolls,
calculating success probabilities, and plotting outcome distributions.
covr, ggplot2, mockery, testthat (>= 3.0.0), tibble, vdiffr

Analyze Drop Out of an Experiment or Survey
Drop out analysis for psychologists in a R based web application.
Shiny is used to visualize and analyze drop outs tailored to the methods of
online survey methodology. Concept and app presented at the SCIP Conference
in Long Beach, California.
as.person(c('Matthias Bannert <bannert@kof.ethz.ch> [aut,
cre]','Ulf-Dietrich Reips <reips@uni-konstanz.de> [aut]'))
Matthias Bannert [aut, cre], Ulf-Dietrich Reips [aut]

person("Chad", "Ross", email = "chad.ross@gmail.com",
role = c("aut", "cre"))
Generates simulated data representing the LOX/GOX drop testing
process (also known as impact testing). A simulated process allows for
accelerated study of test behavior. Functions are provided to simulate
trials, test series, and groups of test series. Functions for creating plots
specific to this process are also included. Test attributes and criteria can
be set arbitrarily. This work is not endorsed by or affiliated with NASA.
See "ASTM G86-17, Standard Test Method for Determining Ignition Sensitivity
of Materials to Mechanical Impact in Ambient Liquid Oxygen and Pressurized
Liquid and Gaseous Oxygen Environments" <doi:10.1520/G0086-17>.