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gravitas  

Explore Probability Distributions for Bivariate Temporal Granularities
View on CRAN: Click here


Download and install gravitas package within the R console
Install from CRAN:
install.packages("gravitas")

Install from Github:
library("remotes")
install_github("cran/gravitas")

Install by package version:
library("remotes")
install_version("gravitas", "0.1.3")



Attach the package and use:
library("gravitas")
Maintained by
Sayani Gupta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-05
Latest Update: 2020-06-25
Description:
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.
How to cite:
Sayani Gupta (2019). gravitas: Explore Probability Distributions for Bivariate Temporal Granularities. R package version 0.1.3, https://cran.r-project.org/web/packages/gravitas. Accessed 01 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:45), 0.1.0 (2019-11-05 15:30), 0.1.2 (2020-02-17 10:20)
Other packages that cited gravitas R package
View gravitas citation profile
Other R packages that gravitas depends, imports, suggests or enhances
Complete documentation for gravitas
Functions, R codes and Examples using the gravitas R package
Some associated functions: create_gran . cricket . gran_advice . gran_obs . harmony . is_harmony . print.gran_advice . prob_plot . reexports . run_app . search_gran . smart_meter10 . validate_gran . 
Some associated R codes: create_gran.R . data.R . global.R . gran_advice.R . harmony.R . is_harmony.R . prob_plot.R . reexports.R . run_app.R . search_gran.R . temp_create_gran.R . temp_search_gran.R .  Full gravitas package functions and examples
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