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:
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)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:e7307d92c2. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win | OK | Nov 02 2024 |
R-4.5-linux | OK | Nov 02 2024 |
R-4.4-win | OK | Nov 02 2024 |
R-4.4-mac | OK | Nov 02 2024 |
R-4.3-win | OK | Nov 02 2024 |
R-4.3-mac | OK | Nov 02 2024 |
Exports:Analyze_Fre_AcfAstimate_Acf_BandB_CICal_Cross_CorrDer_Lev_PacEstimate_Acpsget.ahatJN_ACSDMJN_VMBBAMB_AcP_CIpairwise_MBLPeriod_tsSug_dmVMBB
Dependencies: