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actfts  

Autocorrelation Tools Featured for Time Series
View on CRAN: Click here


Download and install actfts package within the R console
Install from CRAN:
install.packages("actfts")

Install from Github:
library("remotes")
install_github("cran/actfts")

Install by package version:
library("remotes")
install_version("actfts", "0.3.0")



Attach the package and use:
library("actfts")
Maintained by
Sergio Sierra
[Scholar Profile | Author Map]
First Published: 2025-03-06
Latest Update: 2025-03-06
Description:
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>.
How to cite:
Sergio Sierra (2025). actfts: Autocorrelation Tools Featured for Time Series. R package version 0.3.0, https://cran.r-project.org/web/packages/actfts. Accessed 05 May. 2025.
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Complete documentation for actfts
Functions, R codes and Examples using the actfts R package
Full actfts package functions and examples
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