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.


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Reference manual

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install.packages("gravitas")

0.1.2 by Sayani Gupta, a month ago


https://github.com/Sayani07/gravitas/


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