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-4.4-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)
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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'))

Peer review:

On CRAN:

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

1.30 score 1 stars 317 downloads 15 exports 0 dependencies

Last updated 11 months agofrom:e7307d92c2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:Analyze_Fre_AcfAstimate_Acf_BandB_CICal_Cross_CorrDer_Lev_PacEstimate_Acpsget.ahatJN_ACSDMJN_VMBBAMB_AcP_CIpairwise_MBLPeriod_tsSug_dmVMBB

Dependencies: