CRAN/E | gravitas

gravitas

Explore Probability Distributions for Bivariate Temporal Granularities

Installation

About

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.

github.com/Sayani07/gravitas/
Bug report File report

Key Metrics

Version 0.1.3
R ≥ 3.5.0
Published 2020-06-25 1393 days ago
Needs compilation? no
License GPL-3
CRAN checks gravitas results

Downloads

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Maintainer

Maintainer

Sayani Gupta

gupta.sayani@gmail.com

Authors

Sayani Gupta

aut / cre

Rob Hyndman

aut / ths

Di Cook

aut / ths

Antony Unwin

aut

Material

Reference manual
Package source

In Views

TimeSeries

Vignettes

Exploring probability distributions for cricket
Exploring probability distributions for bivariate temporal granularities

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gravitas archive

Depends

R ≥ 3.5.0

Imports

lubridate ≥ 1.7.4
dplyr ≥ 0.8.0
tsibble ≥ 0.8.0
tibble ≥ 2.1.1
rlang ≥ 0.3.4
tidyr ≥ 0.8.3
ggplot2 ≥3.1.1
stats
stringr ≥ 1.4.0
lvplot
ggridges
shiny
RColorBrewer
ineq
magrittr
utils

Suggests

knitr
tsibbledata ≥ 0.1.0
purrr ≥ 0.3.2
testthat ≥2.1.0
covr
rmarkdown
readr