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The 'actfts' package provides tools for performing autocorrelation analysis of time series data. It includes functions to compute and visualize the autocorrelation function (ACF) and the partial autocorrelation function (PACF). Additionally, it performs the Dickey-Fuller, KPSS, and Phillips-Perron unit root tests to assess the stationarity of time series. Theoretical foundations are based on Box and Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Box and Jenkins (1976) <isbn:978-0-8162-1234-2>, and Box and Pierce (1970) <doi:10.1080/01621459.1970.10481180>. Statistical methods are also drawn from Kolmogorov (1933) <doi:10.1007/BF00993594>, Kwiatkowski et al. (1992) <doi:10.1016/0304-4076(92)90104-Y>, and Ljung and Box (1978) <doi:10.1093/biomet/65.2.297>. The package integrates functions from 'forecast' (Hyndman & Khandakar, 2008) <https://CRAN.R-project.org/package=forecast>, 'tseries' (Trapletti & Hornik, 2020) <https://CRAN.R-project.org/package=tseries>, 'xts' (Ryan & Ulrich, 2020) <https://CRAN.R-project.org/package=xts>, and 'stats' (R Core Team, 2023) <https://stat.ethz.ch/R-manual/R-devel/library/stats/html/00Index.html>. Additionally, it provides visualization tools via 'plotly' (Sievert, 2020) <https://CRAN.R-project.org/package=plotly> and 'reactable' (Glaz, 2023) <https://CRAN.R-project.org/package=reactable>. The package also incorporates macroeconomic datasets from the U.S. Bureau of Economic Analysis: Disposable Personal Income (DPI) <https://fred.stlouisfed.org/series/DPI>, Gross Domestic Product (GDP) <https://fred.stlouisfed.org/series/GDP>, and Personal Consumption Expenditures (PCEC) <https://fred.stlouisfed.org/series/PCEC>.
Version: | 0.3.0 |
Depends: | R (≥ 2.10) |
Imports: | openxlsx, plotly, reactable, tseries, xts, stats, forecast, lifecycle |
Suggests: | dplyr, knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2025-03-06 |
DOI: | 10.32614/CRAN.package.actfts |
Author: | David RodrÃguez |
Maintainer: | Sergio Sierra <sergiochess95 at gmail.com> |
BugReports: | https://github.com/SergioFinances/actfts/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/SergioFinances/actfts, https://sergiofinances.github.io/actfts/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | actfts results |
Reference manual: | actfts.pdf |
Vignettes: |
actfts (source, R code) |
Package source: | actfts_0.3.0.tar.gz |
Windows binaries: | r-devel: actfts_0.3.0.zip, r-release: actfts_0.3.0.zip, r-oldrel: actfts_0.3.0.zip |
macOS binaries: | r-devel (arm64): actfts_0.3.0.tgz, r-release (arm64): actfts_0.3.0.tgz, r-oldrel (arm64): actfts_0.3.0.tgz, r-devel (x86_64): actfts_0.3.0.tgz, r-release (x86_64): actfts_0.3.0.tgz, r-oldrel (x86_64): actfts_0.3.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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