Explore Probability Distributions for Bivariate Temporal Granularities R package gravitas version 0.1.3 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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. Software 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 Sayani Gupta <gupta.sayani@gmail.com> Comprehensive R Archive Network (CRAN) Sayani Gupta [aut, cre] (ORCID: <https://orcid.org/0000-0003-0643-5358>), Rob Hyndman [aut, ths] (ORCID: <https://orcid.org/0000-0002-2140-5352>), Di Cook [aut, ths] (ORCID: <https://orcid.org/0000-0002-3813-7155>), Antony Unwin [aut] (ORCID: <https://orcid.org/0000-0002-5841-5757>) GPL-3 2020-06-25 application/tgz https://CRAN.R-project.org/package=gravitas doi:10.32614/CRAN.package.gravitas