This game is linked with the Pietraszko's Cave story available at <http://biecek.pl/BetaBit/Warsaw>.

person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut", "cre")),
person("Tomasz", "Zoltak", role = c("aut")),
Description: Three games: proton, frequon and regression. Each one is a console-based data-crunching game for younger and older data scientists.
In proton you have to solve four data-based puzzles to find the login and password.
In frequon you will help to perform statistical cryptanalytic attack on a corpus of ciphered messages.
This time seven sub-tasks are pushing the bar much higher. Do you accept the challenge?
In regression you will test your modeling skills in a series of eight sub-tasks.
You will find more about the Beta and Bit project at <http://betabit.wiki>.

You will find more about the Beta and Bit project at <https://betabit.wiki>.
Suggests: XML, sp, raster, DALEX, ggplot2

Title: Calculate Power and Sample Size with Beta Regression
Authors@R: c(person("Jinpu", "Li", email = "lijinp@health.missouri.edu", role = c("aut", "cre")),
person("Ryan", "Knigge", email = "rknigge@health.missouri.edu", role = "aut"),
person("Emily", "Leary", email = "LearyE@health.missouri.edu", role = "aut"))
Description: Power calculations are a critical component of any research study to determine the
minimum sample size necessary to detect differences between multiple groups.
Researchers often work with data taking the form of proportions that can be modeled with
a beta distribution. Here we present an R package, 'BetaPASS', that perform power and
sample size calculations for data following a beta distribution with comparative
nonparametric output. This package allows flexibility with multiple options for link
functions to fit the data and graphing functionality for visual comparisons.
Imports: betareg, lmtest, reshape, ggplot2, Rcpp, stats

Imports: betareg, ggplot2, pbapply, stats

Title: Better Statistics for OLS and Binomial Logistic Regression
Description: Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and Pseudo R Square. Aberson, C. L. (2022) <doi:10.31234/osf.io/s2yqn>.