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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.
Getting started
Browse package contents
Package details |
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| Author | Sayani Gupta [aut, cre] (<https://orcid.org/0000-0003-0643-5358>), Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>), Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>), Antony Unwin [aut] (<https://orcid.org/0000-0002-5841-5757>) |
| Maintainer | Sayani Gupta <gupta.sayani@gmail.com> |
| License | GPL-3 |
| Version | 0.1.3 |
| URL | https://github.com/Sayani07/gravitas/ |
| Package repository | View on CRAN |
| Installation |
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