brolgar: Browse Over Longitudinal Data Graphically and Analytically in R

Provides a framework of tools to summarise, visualise, and explore longitudinal data. It builds upon the tidy time series data frames used in the 'tsibble' package, and is designed to integrate within the 'tidyverse', and 'tidyverts' (for time series) ecosystems. The methods implemented include calculating features for understanding longitudinal data, including calculating summary statistics such as quantiles, medians, and numeric ranges, sampling individual series, identifying individual series representative of a group, and extending the facet system in 'ggplot2' to facilitate exploration of samples of data. These methods are fully described in the paper "brolgar: An R package to Browse Over Longitudinal Data Graphically and Analytically in R", Nicholas Tierney, Dianne Cook, Tania Prvan (2020) <arXiv:2012.01619>.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	dplyr (≥ 0.8.3), fabletools, ggplot2 (≥ 3.2.0), glue (≥ 1.3.1), magrittr (≥ 1.5), purrr (≥ 0.3.2), rlang (≥ 0.4.0), stats, tibble (≥ 2.1.3), tidyr (≥ 0.8.3), tsibble (≥ 0.8.2), vctrs
Suggests:	markdown, covr, gapminder, gghighlight (≥ 0.1.0), knitr (≥ 1.23), lme4, modelr, readr (≥ 1.3.1), rmarkdown (≥ 1.14), spelling (≥ 2.1), testthat (≥ 2.1.0), tsibbledata, vdiffr (≥ 0.3.1)
Published:	2023-02-07
Author:	Nicholas Tierney [aut, cre], Di Cook [aut], Tania Prvan [aut], Stuart Lee [ctb], Earo Wang [ctb]
Maintainer:	Nicholas Tierney <nicholas.tierney at gmail.com>
BugReports:	https://github.com/njtierney/brolgar/issues
License:	MIT + file LICENSE
URL:	https://github.com/njtierney/brolgar, https://brolgar.njtierney.com/
NeedsCompilation:	no
Language:	en-US
Citation:	brolgar citation info
Materials:	README NEWS
In views:	TimeSeries
CRAN checks:	brolgar results

Documentation:

Reference manual:	brolgar.pdf
Vignettes:	Exploratory Modelling Finding Features in Data Getting Started Identify Interesting Observations Longitudinal Data Structures Using brolgar to understand Mixed Effects Models Visualisation Gallery

Downloads:

Package source:	brolgar_1.0.0.tar.gz
Windows binaries:	r-devel: brolgar_1.0.0.zip, r-release: brolgar_1.0.0.zip, r-oldrel: brolgar_1.0.0.zip
macOS binaries:	r-release (arm64): brolgar_1.0.0.tgz, r-oldrel (arm64): brolgar_1.0.0.tgz, r-release (x86_64): brolgar_1.0.0.tgz, r-oldrel (x86_64): brolgar_1.0.0.tgz
Old sources:	brolgar archive

Reverse dependencies:

Reverse suggests:

loadflux

Linking:

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