rtv
0.4.3Random Time Variables
Overview
A package for conveniently representing, manipulating and visualising time data. Here, time is regarded as a random variable, and objects are used to represent realisations of that random variable. This is particularly useful for change points, irregular timeseries and failure events. There's a strong emphasis on continuous representations of time, with user-specified origins and units.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
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- Documented parameters
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- Return-value docs
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- References docs
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Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
9 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 2.14.0 released · 2011-10-31
- 0.4.3archived2011-09-13 · diff ↗
- 0.4.32011-09-07 · diff ↗
- 0.4.22011-05-23 · diff ↗
- RR 2.13.0 released · 2011-04-13
- RR 2.12.0 released · 2010-10-15
- 0.4.12010-08-25 · diff ↗
- 0.4.02010-05-26 · diff ↗
- RR 2.11.0 released · 2010-04-22
- RR 2.10.0 released · 2009-10-26
- 0.3.12009-09-11 · diff ↗
- 0.3.02009-08-19 · diff ↗
- RR 2.9.0 released · 2009-04-17
- 0.2.22009-03-23 · diff ↗
- 0.2.02009-03-19 · diff ↗
- 0.1.02009-02-08
Show 1 earlier events
- RR 2.8.0 released · 2008-10-20
Package metadata
- Total releases
- 9
- License
- GPL (>= 2) OSI
- Download size
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- Installed size
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- With dependencies
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Cite
Cite this package
Run in R for the authors' preferred citation:
citation("rtv")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.