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ADTSA
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]
[Scholar Profile | Author Map]
All associated links for this package
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 25 Jun. 2026.
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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