Explore Probability Distributions for Bivariate Temporal Granularities

Provides tools for systematically exploring large quantities of temporal data across nonlinear temporal granularities (deconstructions of time) by visualizing probability distributions. Nonlinear time granularities can be circular, quasi-circular or aperiodic. 'gravitas' computes nonlinear single-order-up or multiple-order-up granularities, check the feasibility of creating plots for any two nonlinear granularities and recommend probability distributions plots for exploring periodicity in the data.


Reference manual

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0.1.2 by Sayani Gupta, a month 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