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gravitas

Explore Probability Distributions for Bivariate Temporal Granularities

v0.1.3 · Jun 25, 2020 · GPL-3

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.

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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies lubridate dplyr tsibble tibble rlang tidyr ggplot2 (>= 3.1.1) stringr lvplot ggridges shiny RColorBrewer ineq magrittr gravitas

Version History

new 0.1.3 Mar 10, 2026
updated 0.1.3 ← 0.1.2 diff Jun 24, 2020
updated 0.1.2 ← 0.1.0 diff Feb 16, 2020
new 0.1.0 Nov 4, 2019