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tsDyn (version 0.7-40)

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

4,965

Version

0.7-40

License

GPL (>= 2)

Maintainer

Matthieu Stigler

Last Published

August 11th, 2010

Functions in tsDyn (0.7-40)

TVECM

Treshold Vector Error Correction model (VECM)
barry

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

Simulation and bootstrap of Treshold Autoregressive model
tsDyn-package

Getting started with the tsDyn package
setarTest

Test of linearity
delta

delta test of conditional indipendence
autotriples

Trivariate time series plots
lineVar

Multivariate linear models: VAR and VECM
STAR

STAR model
UsUnemp

US unemployment series used in Caner and Hansen (2001)
TVAR.sim

Simulation and bootstrap of multivariate Treshold Autoregressive model
MakeThSpec

Specification of the threshold search
oneStep

oneStep
MAPE

Mean Absolute Percent Error
VAR.sim

Simulation of VAR
selectHyperParms

Automatic selection of model hyper-parameters
TVAR

Multivariate Treshold Autoregressive model
TVECM.SeoTest

No cointegration vs threshold cointegration test
extendBoot

extension of the bootstrap replications
TVAR.LRtest

Test of linearity
computeGradient

computeGradient
nlar

Non-linear time series model, base class definition
getTh

Extract threshold(s) coefficient
delta.lin

delta test of linearity
AAR

Additive nonlinear autoregressive model
addRegime

addRegime test
BIC

Bayesian (Schwarz) information criterion
NNET

Neural Network nonlinear autoregressive model
regime

Extract variable showing regime
autopairs

Bivariate time series plots
llar

Locally linear model
SETAR

Self Threshold Autoregressive model
BBCTest

Test of unit root against SETAR alternative
selectSETAR

Automatic selection of SETAR hyper-parameters
VECM

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

Test of unit root against SETAR alternative with
isLinear

isLinear
mse

Mean Square Error
nlar methods

nlar methods
availableModels

Available models
autotriples.rgl

Interactive trivariate time series plots
toLatex.setar

Latex representation of fitted setar models
TVECM.sim

Simulation and bootstrap of bivariate VECM/TVECM
LINEAR

Linear AutoRegressive models
resVar

Residual variance
nlarDialog

GUI to nlar
zeroyld

zeroyld time series
TVECM.HStest

Test of linear cointegration vs threshold cointegration
IIPUs

US monthly industrial production from Hansen (1999)
LSTAR

Logistic Smooth Transition AutoRegressive model
plot methods

Plotting methods for setar and lstar subclasses
nlar.struct

NLAR common structure
sigmoid

sigmoid functions