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tsDyn (version 0.7-23)

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 dynamicsis available when the transition is either direct (TAR: threshold AR) or smooth (STAR: smooth transition AR, LSTAR). For multivariate series, estimation and testing of threshold cointegration TVAR/TVECM models can be done.

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Version

Install

install.packages('tsDyn')

Monthly Downloads

5,101

Version

0.7-23

License

GPL (>= 2)

Maintainer

Matthieu Stigler

Last Published

April 4th, 2010

Functions in tsDyn (0.7-23)

TVECM.sim

Simulation and bootstrap of bivariate VECM/TVECM
TVAR

Multivariate Treshold Autoregressive model
computeGradient

computeGradient
TVAR.sim

Simulation and bootstrap of multivariate Treshold Autoregressive model
AAR

Additive nonlinear autoregressive model
BIC

Bayesian (Schwarz) information criterion
oneStep

oneStep
TVECM

Treshold Vector Error Correction model (VECM)
autopairs

Bivariate time series plots
NNET

Neural Network nonlinear autoregressive model
nlar.struct

NLAR common structure
KapShinTest

Test of unit root against SETAR alternative with
delta.lin

delta test of linearity
regime

Extract variable showing regime
delta

delta test of conditional indipendence
autotriples.rgl

Interactive trivariate time series plots
VAR.sim

Simulation of VAR
STAR

STAR model
llar

Locally linear model
selectSETAR

Automatic selection of SETAR hyper-parameters
TVECM.SeoTest

No cointegration vs threshold cointegration test
isLinear

isLinear
addRegime

addRegime test
BBCTest

Test of unit root against SETAR alternative
lineVar

Multivariate linear models: VAR and VECM
MAPE

Mean Absolute Percent Error
resVar

Residual variance
IIPUs

US monthly industrial production from Hansen (1999)
LSTAR

Logistic Smooth Transition AutoRegressive model
toLatex.setar

Latex representation of fitted setar models
plot methods

Plotting methods for setar and lstar subclasses
SETAR

Self Threshold Autoregressive model
zeroyld

zeroyld time series
setarTest

Test of linearity
getTh

Extract threshold(s) coefficient
sigmoid

sigmoid functions
autotriples

Trivariate time series plots
nlarDialog

GUI to nlar
MakeThSpec

Specification of the threshold search
selectHyperParms

Automatic selection of model hyper-parameters
extendBoot

extension of the bootstrap replications
setar.sim

Simulation and bootstrap of Treshold Autoregressive model
tsDyn-package

Getting started with the tsDyn package
UsUnemp

US unemployment series used in Caner and Hansen (2001)
nlar methods

nlar methods
availableModels

Available models
LINEAR

Linear AutoRegressive models
mse

Mean Square Error
TVAR.LRtest

Test of linearity
nlar

Non-linear time series model, base class definition