Package: aTSA 3.1.2.1

Debin Qiu

aTSA: Alternative Time Series Analysis

Contains some tools for testing, analyzing time series data and fitting popular time series models such as ARIMA, Moving Average and Holt Winters, etc. Most functions also provide nice and clear outputs like SAS does, such as identify, estimate and forecast, which are the same statements in PROC ARIMA in SAS.

Authors:Debin Qiu

aTSA_3.1.2.1.tar.gz
aTSA_3.1.2.1.tar.gz(r-4.5-noble)aTSA_3.1.2.1.tar.gz(r-4.4-noble)
aTSA_3.1.2.1.tgz(r-4.4-emscripten)aTSA_3.1.2.1.tgz(r-4.3-emscripten)
aTSA.pdf |aTSA.html
aTSA/json (API)

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

Peer review:

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

18 exports 1 stars 1.85 score 0 dependencies 5 dependents 2 mentions 296 scripts 2.6k downloads

Last updated 7 months agofrom:199cb8e120. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-linuxOKAug 20 2024

Exports:accurateadf.testarch.testcoint.testecmestimateexpsmoothforecastHoltidentifykpss.testMApp.teststationary.teststepartrend.testts.diagWinters

Dependencies: