NTS
1.1.3Nonlinear Time Series Analysis
Overview
Simulation, estimation, prediction procedure, and model identification methods for nonlinear time series analysis, including threshold autoregressive models, Markov-switching models, convolutional functional autoregressive models, nonlinearity tests, Kalman filters and various sequential Monte Carlo methods. More examples and details about this package can be found in the book "Nonlinear Time Series Analysis" by Ruey S. Tsay and Rong Chen, John Wiley & Sons, 2018 (ISBN: 978-1-119-26407-1).
Install
Health
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- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 96%
- References docs
- 62%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 6.0 median / 41 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
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Functions
66 52 exported
Complexity
9.3 avg / 41 max
Call network
66 nodes / 18 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.1.3Latest
- unarchivedReturned to CRAN2023-09-24
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-10-23requires archived package 'dlm'
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.1.22020-08-06 · diff ↗
- 1.1.12020-08-05 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.1.02019-12-19 · diff ↗
- 1.0.12019-08-30 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.0.02018-12-09
Show 1 earlier events
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-12-09
- Total releases
- 6 / 8 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.6.0
- Download size
- 55 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet