Package: ADTSA 1.0.1

ADTSA: Time Series Analysis

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.

Authors:Hossein Hassani [aut], Masoud Yarmohammadi [aut], Mohammad Reza Yeganegi [aut], Leila Marvian Mashhad [aut, cre]

ADTSA_1.0.1.tar.gz
ADTSA_1.0.1.zip(r-4.5)ADTSA_1.0.1.zip(r-4.4)ADTSA_1.0.1.zip(r-4.3)
ADTSA_1.0.1.tgz(r-4.5-any)ADTSA_1.0.1.tgz(r-4.4-any)ADTSA_1.0.1.tgz(r-4.3-any)
ADTSA_1.0.1.tar.gz(r-4.5-noble)ADTSA_1.0.1.tar.gz(r-4.4-noble)
ADTSA_1.0.1.tgz(r-4.4-emscripten)ADTSA_1.0.1.tgz(r-4.3-emscripten)
ADTSA.pdf |ADTSA.html
ADTSA/json (API)

# Install 'ADTSA' in R:
install.packages('ADTSA', repos = c('https://leilamarvian.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 376 downloads 15 exports 0 dependencies

Last updated 1 years agofrom:e7307d92c2. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-winOKMar 02 2025
R-4.5-macOKMar 02 2025
R-4.5-linuxOKMar 02 2025
R-4.4-winOKMar 02 2025
R-4.4-macOKMar 02 2025
R-4.3-winOKMar 02 2025
R-4.3-macOKMar 02 2025

Exports:Analyze_Fre_AcfAstimate_Acf_BandB_CICal_Cross_CorrDer_Lev_PacEstimate_Acpsget.ahatJN_ACSDMJN_VMBBAMB_AcP_CIpairwise_MBLPeriod_tsSug_dmVMBB

Dependencies: