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 ORCID iD [aut, cre], Rob Hyndman ORCID iD [aut, ths], Di Cook ORCID iD [aut, ths], Antony Unwin ORCID iD [aut]
Maintainer: Sayani Gupta <gupta.sayani at>
License: GPL-3
NeedsCompilation: no
Materials: README
In views: TimeSeries
CRAN checks: gravitas results


Reference manual: gravitas.pdf
Vignettes: Exploring probability distributions for cricket
Exploring probability distributions for bivariate temporal granularities
Package source: gravitas_0.1.0.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: gravitas_0.1.0.tgz, r-oldrel: gravitas_0.1.0.tgz


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