Title: Indices and Tests for Assessing the Flatness of (Rank)
Authors@R: person("Michaël", "Zamo", email = "michael.zamo@meteo.fr", role = c("aut", "cre"))
Description: S3 classes, plotting functions, indices and tests to analyse the flatness of histograms.
It is specifically (but not only) aimed for assessing whether "rank" histograms (much used in weather forecasting) are flat.
Specifically functions are provided to use the Jolliffe-Primo flatness tests introduced in Jolliffe and Primo (2008, <doi:10.1175/2007MWR2219.1>).
Flatness indices described in Wilks (2019, <doi:10.1175/MWR-D-18-0369.1>) can be computed.
Finally a function to use the Benjamini-Hochberg procedure for multiple hypothesis testing is provided (Benjamini and Hochberg, 1995, <doi:10.1111/j.2517-6161.1995.tb02031.x>).

Title: Transforms Contingency Tables to Data Frames, and Analyses Them
Maintainer: Scott D. Graham <scott.grah95@gmail.com>
Description: Contingency Tables are a pain to work with when you want to run regressions.
This package takes them, flattens them into a long data frame, so you can more easily analyse them!
As well, you can calculate other related statistics. All of this is done so in a 'tidy' manner,
so it should tie in nicely with 'tidyverse' series of packages.
Depends: R(>= 3.4.2), stats, dplyr, tibble, magrittr

Title: Obtaining a Flat Table from Pivot Tables
Description: Transformations that allow obtaining a flat table from
reports in text format that contain data in the form of pivot
tables. They can be defined for a single report and applied to a
Imports: utils, dplyr, stringr, tibble, tidyr
Suggests: testthat, knitr, rmarkdown, pander
Author: Jose Samos [aut, cre] (<https://orcid.org/0000-0002-4457-3439>)

reports in text or Excel format that contain data in the form of
pivot tables. They can be defined for a single report and applied
Imports: utils, dplyr, stringr, tibble, tidyr, xlsx
Author: Jose Samos [aut, cre, cph] (<https://orcid.org/0000-0002-4457-3439>)

Imports: utils, dplyr, stringr, tibble, tidyr, readxl