CRAN/E | NTS

NTS

Nonlinear Time Series Analysis

Installation

About

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).

Key Metrics

Version 1.1.2
R ≥ 3.6.0
Published 2020-08-06 1361 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Xialu Liu

xialu.liu@sdsu.edu

Authors

Ruey Tsay

aut

Rong Chen

aut

Xialu Liu

aut / cre

Material

Reference manual
Package source

In Views

TimeSeries

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

NTS archive

Depends

R ≥ 3.6.0

Imports

base
dlm
graphics
MASS
MSwM
Rdpack
parallel
splines
stats
tensor

Suggests

testthat