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gravitas: Explore Probability Distributions for Bivariate Temporal Granularities

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

Version: 0.1.3
Depends: R (≥ 3.5.0)
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: knitr, tsibbledata (≥ 0.1.0), purrr (≥ 0.3.2), testthat (≥ 2.1.0), covr, rmarkdown, readr
Published: 2020-06-25
DOI: 10.32614/CRAN.package.gravitas
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 gmail.com>
BugReports: https://github.com/Sayani07/gravitas/issues
License: GPL-3
URL: https://github.com/Sayani07/gravitas/
NeedsCompilation: no
In views: TimeSeries
CRAN checks: gravitas results

Documentation:

Reference manual: gravitas.pdf
Vignettes: Exploring probability distributions for cricket
Exploring probability distributions for bivariate temporal granularities

Downloads:

Package source: gravitas_0.1.3.tar.gz
Windows binaries: r-devel: gravitas_0.1.3.zip, r-release: gravitas_0.1.3.zip, r-oldrel: gravitas_0.1.3.zip
macOS binaries: r-release (arm64): gravitas_0.1.3.tgz, r-oldrel (arm64): gravitas_0.1.3.tgz, r-release (x86_64): gravitas_0.1.3.tgz, r-oldrel (x86_64): gravitas_0.1.3.tgz
Old sources: gravitas archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.