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ADTSA  

Time Series Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ADTSA", "1.0.1")



Attach the package and use:
library("ADTSA")
Maintained by
Leila Marvian Mashhad
[Scholar Profile | Author Map]
First Published: 2023-11-30
Latest Update: 2024-01-08
Description:
Analyzes autocorrelation and partial autocorrelation using surrogate methods and bootstrapping, and computes the acceleration constants for the vectorized moving block bootstrap provided by this package. It generates percentile, bias-corrected, and accelerated intervals and estimates partial autocorrelations using Durbin-Levinson. This package calculates the autocorrelation power spectrum, computes cross-correlations between two time series, computes bandwidth for any time series, and performs autocorrelation frequency analysis. It also calculates the periodicity of a time series.
How to cite:
Leila Marvian Mashhad (2023). ADTSA: Time Series Analysis. R package version 1.0.1, https://cran.r-project.org/web/packages/ADTSA. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.0 (2023-11-30 18:20)
Other packages that cited ADTSA R package
View ADTSA citation profile
Other R packages that ADTSA depends, imports, suggests or enhances
Complete documentation for ADTSA
Functions, R codes and Examples using the ADTSA R package
Some associated functions: Analyze_Fre_Acf . Astimate_Acf_Band . Cal_Cross_Corr . Der_Lev_Pac . Estimate_Acps . JN_ACSDM . JN_VMBBA . MB_Ac . P_CI . Period_ts . Sug_dm . VMBB . get.ahat . pairwise_MBL . 
Some associated R codes: Analyze_Fre_Acf.R . Astimate_Acf_Band.R . Cal_Cross_Corr.R . Der_Lev_Pac.R . Estimate_Acps.R . JN_ACSDM.R . JN_VMBBA.R . MB_Ac.R . P_CI.R . Period_ts.R . Sug_dm.R . VMBB.R . get.ahat.R . pairwise_MBL.R .  Full ADTSA package functions and examples
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