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starvars

The goal of starvars is to estimate a Vector Logistic Smooth Transition model in R. The package allows also the user to test non-linearity and determine common structural breaks in multivariate time series. Furthermore, realized covariances and their Cholesky decomposition may be obtained through a dedicated function.

Installation

You can install the released version of starvars from CRAN with:

install.packages("starvars")

Example

This is a basic example which shows you how to solve a common problem:

## basic example code

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Version

Install

install.packages('starvars')

Monthly Downloads

179

Version

1.1.10

License

GPL

Issues

Pull Requests

Stars

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Maintainer

Andrea Bucci

Last Published

January 17th, 2022

Functions in starvars (1.1.10)

logLik.VLSTAR

Log-Likelihood method
loglike

Multivariate log-likelihood
Sample5minutes

Ten simulated prices series for 19 trading days in January 2010.
coef.VLSTAR

Coefficient method for objects of class VLSTAR
multiCUMSUM

Multivariate CUMSUM test
predict.VLSTAR

VLSTAR Prediction
plot.vlstarpred

Plot methods for a vlstarpred object
SSQ

Sum of squared error
plot.VLSTAR

Plot methods for a VLSTAR object
VLSTARjoint

Joint linearity test
VLSTAR

VLSTAR- Estimation
summary.VLSTAR

Summary method for objects of class VLSTAR
rcov

Realized Covariance
techprices

Daily closing prices of 3 tech stocks.
startingVLSTAR

Starting parameters for a VLSTAR model
print.VLSTAR

Print method for objects of class VLSTAR
Realized

Monthly time series used to test VLSTAR models.
lrvarbart

Long-run variance using Bartlett kernel