Sieve Methods for Non-Stationary Time Series [R package Sie2nts version 0.1.0]

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:

Reference manual:	Sie2nts.html , Sie2nts.pdf
Vignettes:	how-to-use (source, R code)

Downloads:

Package source:	Sie2nts_0.1.0.tar.gz
Windows binaries:	r-devel: Sie2nts_0.1.0.zip, r-release: Sie2nts_0.1.0.zip, r-oldrel: Sie2nts_0.1.0.zip
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

Linking:

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