gravitas: Explore Probability Distributions for Bivariate Temporal Granularities

Provides tools for systematically exploring large quantities of temporal data across nonlinear temporal granularities (deconstructions of time) by visualizing probability distributions. Nonlinear time granularities can be circular, quasi-circular or aperiodic. 'gravitas' computes nonlinear single-order-up or multiple-order-up granularities, check the feasibility of creating plots for any two nonlinear granularities and recommend probability distributions plots for exploring periodicity in the data.

Version:	0.1.2
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:	2020-02-17
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 NEWS
In views:	TimeSeries
CRAN checks:	gravitas results

Downloads:

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gravitas to link to this page.