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.zip(r-4.7-any)aTSA_3.1.2.1.zip(r-4.6-any)
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✨
DESCRIPTION
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.

4.64 score 1 stars 5 packages 542 scripts 2.7k downloads 2 mentions 18 exports 0 dependencies

Last updated from:199cb8e120. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK130
source / vignettesOK141
linux-releaseOK102
windows-develOK68
windows-releaseOK81
wasm-releaseOK69

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

Dependencies: