Sayani07/gravitas: 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 <doi:10.1080/10618600.2021.1938588> When there are many granularities that can be constructed for a time period, there will also be too many possible displays to decide which might be the more interesting to display. `gravitas` also provides functions to screen and rank the possible granularities, and hence choose the most interesting ones to plot.

Getting started

Package details

MaintainerSayani Gupta <gupta.sayani@gmail.com>
LicenseGPL-3
Version0.1.3
URL https://github.com/Sayani07/gravitas/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Sayani07/gravitas")
Sayani07/gravitas documentation built on June 18, 2022, 2:40 a.m.