Other packages > Find by keyword >

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]
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 (). actfts: Autocorrelation Tools Featured for Time Series. R package version 0.3.0, https://cran.r-project.org/web/packages/actfts. Accessed 01 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited actfts R package
View actfts citation profile
Other R packages that actfts depends, imports, suggests or enhances
Complete documentation for actfts
Functions, R codes and Examples using the actfts R package
Full actfts package functions and examples
Downloads during the last 30 days
03/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/31Downloads for actfts05101520253035404550TrendBars

Today's Hot Picks in Authors and Packages

simplevis  
Wrappers to Simplify Beautiful "ggplot2" and "leaflet" Visualisation
Wrapper functions around the amazing 'leaflet' package that aims to simplify 'leaflet' visualisatio ...
Download / Learn more Package Citations See dependency  
gasmodel  
Generalized Autoregressive Score Models
Estimation, forecasting, and simulation of generalized autoregressive score (GAS) models of Creal, ...
Download / Learn more Package Citations See dependency  
samplesize  
Sample Size Calculation for Various t-Tests and Wilcoxon-Test
Computes sample size for Student's t-test and for the Wilcoxon-Mann-Whitney test for categorical dat ...
Download / Learn more Package Citations See dependency  
eSIR  
Extended State-Space SIR Models
An implementation of extended state-space SIR models developed by Song Lab at UM school of Public H ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
shinyBS  
Twitter Bootstrap Components for Shiny
Adds additional Twitter Bootstrap components to Shiny. ...
Download / Learn more Package Citations See dependency  

23,842

R Packages

207,311

Dependencies

64,420

Author Associations

23,781

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA