Sie2nts: Sieve Methods for Non-Stationary Time Series

We provide functions for estimation and inference of locally-stationary time series using the sieve methods and bootstrapping procedure. In addition, it also contains functions to generate Daubechies and Coiflet wavelet by Cascade algorithm and to process data visualization.

Getting started

Package details

AuthorXiucai Ding [aut, cre, cph], Chen Qian [aut, cph]
MaintainerXiucai Ding <xiucaiding89@gmail.com>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Sie2nts")

Try the Sie2nts package in your browser

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

Sie2nts documentation built on Jan. 22, 2023, 1:52 a.m.