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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.3 by Sayani Gupta, a year 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 knitr, tsibbledata, purrr, testthat, covr, rmarkdown, readr

See at CRAN