Package: Sie2nts 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.

Authors:Xiucai Ding [aut, cre, cph], Chen Qian [aut, cph]

Sie2nts_0.1.0.tar.gz
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Sie2nts_0.1.0.tgz(r-4.5-any)Sie2nts_0.1.0.tgz(r-4.4-any)Sie2nts_0.1.0.tgz(r-4.3-any)
Sie2nts_0.1.0.tar.gz(r-4.5-noble)Sie2nts_0.1.0.tar.gz(r-4.4-noble)
Sie2nts_0.1.0.tgz(r-4.4-emscripten)Sie2nts_0.1.0.tgz(r-4.3-emscripten)
Sie2nts.pdf |Sie2nts.html✨
Sie2nts/json (API)
NEWS

# Install 'Sie2nts' in R:
install.packages('Sie2nts', repos = c('https://xcding1212.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 1 packages 2 scripts 199 downloads 14 exports 72 dependencies

Last updated 2 years agofrom:a33a82214f. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winOKMar 08 2025
R-4.5-macOKMar 08 2025
R-4.5-linuxOKMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:auto.pacf.testauto.testbs.genebs.plotfix.fitfix.pacffix.pacf.testfix.plotfix.testsie.auto.fitsie.auto.pacfsie.auto.plotsie.plot.pacfsie.predict

Dependencies:askpassbase64encbitopsbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRCurlrlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

how-to-use

Rendered fromhow-to-use.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2023-01-18
Started: 2023-01-18