Vector Logistic Smooth Transition Models Estimation and Prediction

Allows the user to estimate a vector logistic smooth transition autoregressive model via maximum log-likelihood or nonlinear least squares. It further permits to test for linearity in the multivariate framework against a vector logistic smooth transition autoregressive model with a single transition variable. The estimation method is discussed in Terasvirta and Yang (2014, ). Also, realized covariances can be constructed from stock market prices or returns, as explained in Andersen et al. (2001, ).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.1.10 by Andrea Bucci, 5 days ago

Browse source code at

Authors: Andrea Bucci [aut, cre, cph] , Giulio Palomba [aut] , Eduardo Rossi [aut] , Andrea Faragalli [ctb]

Documentation:   PDF Manual  

GPL license

Imports MASS, ks, zoo, doSNOW, foreach, methods, matrixcalc, optimParallel, parallel, vars, xts, lessR, quantmod

See at CRAN