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.


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Reference manual

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install.packages("gravitas")

0.1.3 by Sayani Gupta, 14 days 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:


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