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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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