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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

256

Version

1.1.11

License

GPL

Issues

Pull Requests

Stars

Forks

Maintainer

Andrea Bucci

Last Published

January 26th, 2026

Functions in starvars (1.1.11)

coef.VLSTAR

Coefficient method for objects of class VLSTAR
logLik.VLSTAR

Log-Likelihood method
plot.vlstarpred

Plot methods for a vlstarpred object
print.VLSTAR

Print method for objects of class VLSTAR
plot.VLSTAR

Plot methods for a VLSTAR object
predict.VLSTAR

VLSTAR Prediction
techprices

Daily closing prices of 3 tech stocks.
SSQ

Sum of squared error
summary.VLSTAR

Summary method for objects of class VLSTAR
VLSTAR

VLSTAR- Estimation
lrvarbart

Long-run variance using Bartlett kernel
VLSTARjoint

Joint linearity test
multiCUMSUM

Multivariate CUMSUM test
loglike

Multivariate log-likelihood
Sample5minutes

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

Monthly time series used to test VLSTAR models.
startingVLSTAR

Starting parameters for a VLSTAR model
rcov

Realized Covariance