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-4.7-any)aTSA_3.1.2.1.tar.gz(r-4.6-any)
aTSA_3.1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
aTSA/json (API)

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

On CRAN:

Conda:

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

5.08 score 1 stars 5 packages 494 scripts 8.1k downloads 2 mentions 18 exports 0 dependencies

Last updated from:199cb8e120. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK100
source / vignettesOK148
linux-release-x86_64OK128
wasm-releaseOK84

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

Dependencies: