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>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: Sie2nts results


Reference manual: Sie2nts.pdf
Vignettes: how-to-use


Package source: Sie2nts_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Sie2nts_0.1.0.tgz, r-oldrel (arm64): Sie2nts_0.1.0.tgz, r-release (x86_64): Sie2nts_0.1.0.tgz, r-oldrel (x86_64): Sie2nts_0.1.0.tgz

Reverse dependencies:

Reverse imports: SIMle


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