Imports: graphics, insight (>= 0.17.0), MASS, sjlabelled (>= 1.1.2),
MCMCglmm, mgcv, nlme, ordinal, parameters, patchwork,

Title: Visualization Tools for Genealogical Data
Description: Methods for searching through genealogical data and displaying the results. Plotting algorithms assist with data exploration and publication-quality image generation. Uses the Grammar of Graphics.
Author: Lindsay Rutter, Susan Vanderplas, Di Cook
Suggests: stringr (>= 0.6.2), knitr, roxygen2 (>= 3.0.0)

Description: Methods for searching through genealogical data and displaying the results. Plotting algorithms assist with data exploration and publication-quality image generation. Includes interactive genealogy visualization tools. Uses the Grammar of Graphics.

Description: Methods for searching through genealogical data and displaying the results. Plotting algorithms assist with data exploration and publication-quality image generation. Includes interactive genealogy visualization tools. Provides parsing and calculation methods for variables in descendant branches of interest. Uses the Grammar of Graphics.

Title: Visualisation of High-Throughput Behavioural (i.e. Ethomics)
Description: Extension of 'ggplot2' providing layers, scales and preprocessing functions
useful to represent behavioural variables that are recorded over multiple animals and days.
Imports: data.table, stringr, scales, labeling
Suggests: testthat, covr, knitr, zeitgebr

This package is part of the rethomics framework <http://rethomics.github.io/>.
Imports: data.table, stringr, scales, labeling, rlang

This package is part of the 'rethomics' framework <http://rethomics.github.io/>.

This package is part of the 'rethomics' framework <https://rethomics.github.io/>.
Imports: data.table, stringr, scales, labeling, rlang, cli

Title: Graphs for Correspondence Analysis
Description: Readable, complete and pretty graphs for correspondence analysis made
with 'FactoMineR'. They can be rendered as interactive 'HTML' plots, showing useful
informations at mouse hover. The interest is not mainly visual but statistical:
it helps the reader to keep in mind the data contained in the cross-table or Burt
table while reading the correspondence analysis, thus preventing over-interpretation.
Graphs are made with 'ggplot2', which means that you can use the + syntax to
manually add as many graphical pieces you want, or change theme elements.
Imports: magrittr (>= 1.5.0), FactoMineR (>= 2.0.0), ggiraph (>=