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
Sie2nts_0.1.0.zip(r-4.5)Sie2nts_0.1.0.zip(r-4.4)Sie2nts_0.1.0.zip(r-4.3)
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'))

Peer review:

On CRAN:

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 198 downloads 14 exports 72 dependencies

Last updated 2 years agofrom:a33a82214f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

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 Nov 08 2024.

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