Complexity of Short and Coarse-Grained Time Series
Overview
While there are many well-established measures for identifying critical fluctuations and phase transitions, these measures only work with many points of measurement and thus are unreliable when studying short and coarse-grained time series. This package provides a measure for complexity in a time series that does not rely on long time series (Kaiser (2017), doi:10.17605/OSF.IO/GWTKX).
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Documentation
- Help pages
- 1
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 100%
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Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.5.0 released · 2025-04-11
- archivedRemoved from CRAN2024-12-04email to the maintainer is undeliverable
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.0.2-12018-08-16 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.0.1-52017-12-11
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-12-11
- Total releases
- 2 / 9 yrs
- License
- MIT + file LICENSE OSI
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