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tsDyn (version 0.8-1)

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

5,101

Version

0.8-1

License

GPL (>= 2)

Maintainer

Matthieu Stigler

Last Published

February 16th, 2012

Functions in tsDyn (0.8-1)

TVAR.sim

Simulation and bootstrap of multivariate Threshold Autoregressive model
TVECM.sim

Simulation and bootstrap of bivariate VECM/TVECM
TVECM

Threshold Vector Error Correction model (VECM)
IIPUs

US monthly industrial production from Hansen (1999)
autotriples.rgl

Interactive trivariate time series plots
KapShinTest

Test of unit root against SETAR alternative with
TVAR

Multivariate Threshold Autoregressive model
isLinear

isLinear
AAR

Additive nonlinear autoregressive model
lineVar

Multivariate linear models: VAR and VECM
delta

delta test of conditional independence
nlar.struct

NLAR common structure
toLatex.setar

Latex representation of fitted setar models
resVar

Residual variance
addRegime

addRegime test
setar.sim

Simulation and bootstrap of Threshold Autoregressive model
MakeThSpec

Specification of the threshold search
TVECM.HStest

Test of linear cointegration vs threshold cointegration
extendBoot

extension of the bootstrap replications
getTh

Extract threshold(s) coefficient
STAR

STAR model
llar

Locally linear model
BBCTest

Test of unit root against SETAR alternative
mse

Mean Square Error
sigmoid

sigmoid functions
autotriples

Trivariate time series plots
TVAR.LRtest

Test of linearity
selectHyperParms

Automatic selection of model hyper-parameters
oneStep

oneStep
computeGradient

computeGradient
barry

Time series of PPI used as example in Bierens and Martins (2010)
TVECM.SeoTest

No cointegration vs threshold cointegration test
SETAR

Self Threshold Autoregressive model
regime

Extract variable showing regime
nlar methods

nlar methods
MAPE

Mean Absolute Percent Error
selectSETAR

Automatic selection of SETAR hyper-parameters
nlar

Non-linear time series model, base class definition
tsDyn-package

Getting started with the tsDyn package
NNET

Neural Network nonlinear autoregressive model
setarTest

Test of linearity
nlarDialog

GUI to nlar
delta.lin

delta test of linearity
LSTAR

Logistic Smooth Transition AutoRegressive model
zeroyld

zeroyld time series
plot methods

Plotting methods for SETAR and LSTAR subclasses
VECM

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

Linear AutoRegressive models
UsUnemp

US unemployment series used in Caner and Hansen (2001)
autopairs

Bivariate time series plots
availableModels

Available models
VAR.sim

Simulation of VAR