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aTSA
View on CRAN: Click
here
Download and install aTSA package within the R console
Install from CRAN:
install.packages("aTSA")
Install from Github:
library("remotes")
install_github("cran/aTSA")
Install by package version:
library("remotes")
install_version("aTSA", "3.1.2.1")
Attach the package and use:
library("aTSA")
Maintained by
Debin Qiu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-08
Latest Update: 2024-02-21
Description:
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.
How to cite:
Debin Qiu (2015). aTSA: Alternative Time Series Analysis. R package version 3.1.2.1, https://cran.r-project.org/web/packages/aTSA. Accessed 06 Nov. 2024.
Previous versions and publish date:
3.1.2 (2015-07-08 22:37)
Other packages that cited aTSA R package
View aTSA citation profile
Other R packages that aTSA depends,
imports, suggests or enhances
Complete documentation for aTSA
Functions, R codes and Examples using
the aTSA R package
Some associated functions: Holt . MA . Winters . aTSA-package . accurate . adf.test . arch.test . coint.test . ecm . estimate . expsmooth . forecast . identify . kpss.test . pp.test . stationary.test . stepar . trend.test . ts.diag .
Some associated R codes: Holt.R . MA.R . Winters.R . aTSA.R . accurate.R . adftest.R . archtest.R . cointtest.R . ecm.R . estimate.R . exposmooth.R . forecast.R . identify.R . kpsstest.R . pptest.R . stationarytest.R . stepar.R . trendtest.R . tsdiag.R . Full aTSA package functions and examples
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