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 + fileLICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | Sie2nts results |
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