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.
Version: |
0.1.0 |
Imports: |
ggplot2, Matrix, plotly, stringr, RCurl, splines, methods, utils, stats |
Suggests: |
knitr, rmarkdown |
Published: |
2023-01-18 |
DOI: |
10.32614/CRAN.package.Sie2nts |
Author: |
Xiucai Ding [aut, cre, cph],
Chen Qian [aut, cph] |
Maintainer: |
Xiucai Ding <xiucaiding89 at gmail.com> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Materials: |
NEWS |
CRAN checks: |
Sie2nts results |
Documentation:
Downloads:
Reverse dependencies:
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