gravitas: Explore Probability Distributions for Bivariate Temporal Granularities

Provides tools for systematically exploring large quantities of temporal data across different temporal granularities (deconstructions of time) by visualizing probability distributions. 'gravitas' computes circular, aperiodic, single-order-up or multiple-order-up granularities and advises on which combinations of granularities to explore and through which distribution plots.

Version:	0.1.0
Depends:	R (≥ 3.1.3)
Imports:	lubridate (≥ 1.7.4), dplyr (≥ 0.8.0), tsibble (≥ 0.8.0), tibble (≥ 2.1.1), rlang (≥ 0.3.4), tidyr (≥ 0.8.3), ggplot2 (≥ 3.1.1), stats, stringr (≥ 1.4.0), lvplot, ggridges, shiny, RColorBrewer, ineq, magrittr, utils
Suggests:	tsibbledata (≥ 0.1.0), purrr (≥ 0.3.2), testthat (≥ 2.1.0), covr, knitr, shinythemes, shinyalert, rmarkdown, readr
Published:	2019-11-05
Author:	Sayani Gupta [aut, cre], Rob Hyndman [aut, ths], Di Cook [aut, ths], Antony Unwin [aut]
Maintainer:	Sayani Gupta <gupta.sayani at gmail.com>
BugReports:	https://github.com/Sayani07/gravitas/issues
License:	GPL-3
URL:	https://github.com/Sayani07/gravitas/
NeedsCompilation:	no
Materials:	README
In views:	TimeSeries
CRAN checks:	gravitas results

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