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NonlinearTSA  

Nonlinear Time Series Analysis
View on CRAN: Click here


Download and install NonlinearTSA package within the R console
Install from CRAN:
install.packages("NonlinearTSA")

Install from Github:
library("remotes")
install_github("cran/NonlinearTSA")

Install by package version:
library("remotes")
install_version("NonlinearTSA", "0.5.0")



Attach the package and use:
library("NonlinearTSA")
Maintained by
Burak Guris
[Scholar Profile | Author Map]
First Published: 2020-06-08
Latest Update: 2021-01-23
Description:
Function and data sets in the book entitled "Nonlinear Time Series Analysis with R Applications" B.Guris (2020). The book will be published in Turkish and the original name of this book will be "R Uygulamali Dogrusal Olmayan Zaman Serileri Analizi". It is possible to perform nonlinearity tests, nonlinear unit root tests, nonlinear cointegration tests and estimate nonlinear error correction models by using the functions written in this package. The Momentum Threshold Autoregressive (MTAR), the Smooth Threshold Autoregressive (STAR) and the Self Exciting Threshold Autoregressive (SETAR) type unit root tests can be performed using the functions written. In addition, cointegration tests using the Momentum Threshold Autoregressive (MTAR), the Smooth Threshold Autoregressive (STAR) and the Self Exciting Threshold Autoregressive (SETAR) models can be applied. It is possible to estimate nonlinear error correction models. The Granger causality test performed using nonlinear models can also be applied.
How to cite:
Burak Guris (2020). NonlinearTSA: Nonlinear Time Series Analysis. R package version 0.5.0, https://cran.r-project.org/web/packages/NonlinearTSA. Accessed 02 Mar. 2025.
Previous versions and publish date:
0.4.0 (2020-06-08 10:50)
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Complete documentation for NonlinearTSA
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