The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A test to understand the stability of the underlying stochastic data. Helps the user’s understand whether the random variable under consideration is stationary or non-stationary without any manual interpretation of the results. It further ensures to check all the prerequisites and assumptions which are underlying the unit root test statistics and if the underlying data is found to be non-stationary in all the 4 lags the function diagnoses the input data and returns with an optimised solution on the same.
| Version: | 1.1.0 |
| Depends: | lmtest |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-06-18 |
| DOI: | 10.32614/CRAN.package.UnitStat |
| Author: | Ankita Sharma [aut, cre] |
| Maintainer: | Ankita Sharma <ankita.sh49 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | UnitStat results |
| Reference manual: | UnitStat.pdf |
| Vignettes: |
Demystifying UnitStat |
| Package source: | UnitStat_1.1.0.tar.gz |
| Windows binaries: | r-devel: UnitStat_1.1.0.zip, r-release: UnitStat_1.1.0.zip, r-oldrel: UnitStat_1.1.0.zip |
| macOS binaries: | r-release (arm64): UnitStat_1.1.0.tgz, r-oldrel (arm64): UnitStat_1.1.0.tgz, r-release (x86_64): UnitStat_1.1.0.tgz, r-oldrel (x86_64): UnitStat_1.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=UnitStat to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.