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tsDyn (version 0.7-60)

Nonlinear time series models with regime switching

Description

Implements nonlinear autoregressive (AR) time series models. For univariate series, a non-parametric approach is available through additive nonlinear AR. Parametric modeling and testing for regime switching dynamics is available when the transition is either direct (TAR: threshold AR) or smooth (STAR: smooth transition AR, LSTAR). For multivariate series, one can estimate a range of TVAR or threshold cointegration TVECM models with two or two regimes. Tests can be conducted for TVAR as well as for TVECM (Hansen and Seo 2002 and Seo 2006).

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Version

Install

install.packages('tsDyn')

Monthly Downloads

5,189

Version

0.7-60

License

GPL (>= 2)

Maintainer

Matthieu Stigler

Last Published

May 15th, 2011

Functions in tsDyn (0.7-60)

STAR

STAR model
AAR

Additive nonlinear autoregressive model
addRegime

addRegime test
MakeThSpec

Specification of the threshold search
LSTAR

Logistic Smooth Transition AutoRegressive model
TVECM.SeoTest

No cointegration vs threshold cointegration test
IIPUs

US monthly industrial production from Hansen (1999)
BBCTest

Test of unit root against SETAR alternative
VECM

Estimation of Vector error correction model (VECM) by EG or MLE
barry

Time series of PPI used as example in Bierens and Martins (2010)
VAR.sim

Simulation of VAR
UsUnemp

US unemployment series used in Caner and Hansen (2001)
TVECM.HStest

Test of linear cointegration vs threshold cointegration
nlar methods

nlar methods
plot methods

Plotting methods for setar and lstar subclasses
tsDyn-package

Getting started with the tsDyn package
isLinear

isLinear
autotriples.rgl

Interactive trivariate time series plots
nlarDialog

GUI to nlar
MAPE

Mean Absolute Percent Error
getTh

Extract threshold(s) coefficient
TVAR

Multivariate Treshold Autoregressive model
LINEAR

Linear AutoRegressive models
TVAR.LRtest

Test of linearity
oneStep

oneStep
autotriples

Trivariate time series plots
SETAR

Self Threshold Autoregressive model
delta.lin

delta test of linearity
toLatex.setar

Latex representation of fitted setar models
TVECM

Treshold Vector Error Correction model (VECM)
NNET

Neural Network nonlinear autoregressive model
resVar

Residual variance
selectHyperParms

Automatic selection of model hyper-parameters
TVECM.sim

Simulation and bootstrap of bivariate VECM/TVECM
zeroyld

zeroyld time series
setarTest

Test of linearity
nlar

Non-linear time series model, base class definition
llar

Locally linear model
availableModels

Available models
lineVar

Multivariate linear models: VAR and VECM
selectSETAR

Automatic selection of SETAR hyper-parameters
setar.sim

Simulation and bootstrap of Treshold Autoregressive model
KapShinTest

Test of unit root against SETAR alternative with
autopairs

Bivariate time series plots
nlar.struct

NLAR common structure
TVAR.sim

Simulation and bootstrap of multivariate Treshold Autoregressive model
computeGradient

computeGradient
mse

Mean Square Error
delta

delta test of conditional indipendence
regime

Extract variable showing regime
extendBoot

extension of the bootstrap replications
sigmoid

sigmoid functions