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.

SupMZ: Detecting Structural Change with Heteroskedasticity

Calculates the sup MZ value to detect the unknown structural break points under Heteroskedasticity as given in Ahmed et al. (2017) (<doi:10.1080/03610926.2016.1235200>).

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: dplyr, magrittr
Suggests: testthat
Published: 2020-01-16
DOI: 10.32614/CRAN.package.SupMZ
Author: Muhammad Yaseen [aut, cre], Sami Ullah [aut, ctb], Gulfam Haider [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208 at gmail.com>
License: GPL-2
URL: https://github.com/myaseen208/SupMZ, https://myaseen208.github.io/SupMZ/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SupMZ results

Documentation:

Reference manual: SupMZ.pdf

Downloads:

Package source: SupMZ_0.2.0.tar.gz
Windows binaries: r-devel: SupMZ_0.2.0.zip, r-release: SupMZ_0.2.0.zip, r-oldrel: SupMZ_0.2.0.zip
macOS binaries: r-release (arm64): SupMZ_0.2.0.tgz, r-oldrel (arm64): SupMZ_0.2.0.tgz, r-release (x86_64): SupMZ_0.2.0.tgz, r-oldrel (x86_64): SupMZ_0.2.0.tgz
Old sources: SupMZ archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SupMZ 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.