CRAN/E | starvars

starvars

Vector Logistic Smooth Transition Models Estimation and Prediction

Installation

About

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, doi:10.1108/S0731-9053(2013)0000031008). Also, realized covariances can be constructed from stock market prices or returns, as explained in Andersen et al. (2001, doi:10.1016/S0304-405X(01)00055-1).

github.com/andbucci/starvars

Key Metrics

Version 1.1.10
R ≥ 4.0
Published 2022-01-17 836 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks starvars results

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Maintainer

Maintainer

Andrea Bucci

andrea.bucci@unich.it

Authors

Andrea Bucci

aut / cre / cph

Giulio Palomba

aut

Eduardo Rossi

aut

Andrea Faragalli

ctb

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

starvars archive

Depends

R ≥ 4.0

Imports

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