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-4.7-any)Sie2nts_0.1.0.zip(r-4.6-any)Sie2nts_0.1.0.zip(r-4.5-any)
Sie2nts_0.1.0.tgz(r-4.6-any)Sie2nts_0.1.0.tgz(r-4.5-any)
Sie2nts_0.1.0.tar.gz(r-4.7-any)Sie2nts_0.1.0.tar.gz(r-4.6-any)
Sie2nts_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Sie2nts/json (API)

# Install 'Sie2nts' in R:

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

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 4 scripts 245 downloads 14 exports 68 dependencies

Last updated from:a33a82214f. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	190
source / vignettes	OK	202
linux-release	OK	170
macos-release	OK	150
macos-oldrel	OK	118
windows-devel	OK	117
windows-release	OK	114
windows-oldrel	OK	111
wasm-release	OK	144

Exports:auto.pacf.test auto.test bs.gene bs.plot fix.fit fix.pacf fix.pacf.test fix.plot fix.test sie.auto.fit sie.auto.pacf sie.auto.plot sie.plot.pacf sie.predict

Dependencies:askpass base64enc bitops bslib cachem cli cpp11 crosstalk curl data.table digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gtable highr htmltools htmlwidgets httr isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle magrittr Matrix memoise mime openssl otel pillar pkgconfig plotly promises purrr R6 rappdirs RColorBrewer Rcpp RCurl rlang rmarkdown S7 sass scales stringi stringr sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

how-to-use

Rendered fromhow-to-use.Rmdusingknitr::rmarkdown

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

Citation

Readme and manuals

Help Manual

Help page	Topics
The Test of Lag of Auto-Regressive (AR) Model Automatically	auto.pacf.test
The Test of Stability for Auto-Regressive (AR) Approximations Automatically	auto.test
Generate Basis	bs.gene
Plots of Basis	bs.plot
Estimate the Coefficients of Auto-Regressive (AR) Model by User Specifying	fix.fit
Generate Partial Autocorrelation Function (PACF) by User Specifying	fix.pacf
Testing Lag of Auto-Regressive (AR) Model	fix.pacf.test
Plot Results of Estimating	fix.plot
The Test of Stability for Auto-Regressive (AR) Approximations With Fixed Parameters	fix.test
Estimate the Coefficients of Auto-Regressive (AR) Model Automatically	sie.auto.fit
Generate Partial Autocorrelation Function (PACF) Automatically	sie.auto.pacf
Plot the Estimate Results by Automatic Fitting	sie.auto.plot
Plot Partial Autocorrelation Function (PACF)	sie.plot.pacf
Predicting Time Series With H Steps	sie.predict

Package: Sie2nts 0.1.0

Sie2nts: Sieve Methods for Non-Stationary Time Series

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)