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.


Reference manual

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0.1.0 by Sayani Gupta, 2 months ago


Report a bug at https://github.com/Sayani07/gravitas/issues

Browse source code at https://github.com/cran/gravitas

Authors: Sayani Gupta [aut, cre] , Rob Hyndman [aut, ths] , Di Cook [aut, ths] , Antony Unwin [aut]

Documentation:   PDF Manual  

Task views: Time Series Analysis

GPL-3 license

Imports lubridate, dplyr, tsibble, tibble, rlang, tidyr, ggplot2, stats, stringr, lvplot, ggridges, shiny, RColorBrewer, ineq, magrittr, utils

Suggests tsibbledata, purrr, testthat, covr, knitr, shinythemes, shinyalert, rmarkdown, readr

See at CRAN