robustGarch: Robust Garch(1,1) Model

A method for modeling robust generalized autoregressive conditional heteroskedasticity (Garch) (1,1) processes, providing robustness toward additive outliers instead of innovation outliers. This work is based on the methodology described by Muler and Yohai (2008) <doi:10.1016/j.jspi.2007.11.003>.

Getting started

Package details

AuthorEcho Liu [aut, cre], Daniel Xia [aut], R. Douglas Martin [aut]
MaintainerEcho Liu <yuhong.echo.liu@gmail.com>
LicenseMIT + file LICENSE
Version0.4.2
URL https://github.com/EchoRLiu/robustGarch
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("robustGarch")

Try the robustGarch package in your browser

Any scripts or data that you put into this service are public.

robustGarch documentation built on June 8, 2025, 11:50 a.m.