Description: A toolkit for parsing dice notation, analyzing rolls,
calculating success probabilities, and plotting outcome distributions.
Suggests: covr, ggplot2, mockery, testthat (>= 3.0.0), tibble, vdiffr

Title: Analyze Drop Out of an Experiment or Survey
Description: 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
Authors@R: as.person(c('Matthias Bannert <bannert@kof.ethz.ch> [aut,
Author: Matthias Bannert [aut, cre], Ulf-Dietrich Reips [aut]

Authors@R: person("Chad", "Ross", email = "chad.ross@gmail.com",
Description: 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>.

Description: Generates simulated data representing the LOX drop testing

Title: Doubly-Robust Estimators for Ordinal Outcomes
person("David", "Benkeser", email = "benkeser@emory.edu",
Description: Efficient covariate-adjusted estimators of quantities that are useful for
establishing the effects of treatments on ordinal outcomes.
Suggests: testthat, knitr, rmarkdown, ggsci

Title: Statistical Modeling and Assessment of Drought
Description: Provide tools for drought monitoring based on univariate and multivariate drought indicators.Statistical drought prediction based on Ensemble Streamflow Prediction (ESP) and drought risk assessments are also provided. Please see Hao Zengchao et al. (2017) <doi:10.1016/j.envsoft.2017.02.008>.