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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 [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 |
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_0.1.3.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 |
Please use the canonical form https://CRAN.R-project.org/package=gravitas to link to this page.
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.