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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
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:

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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.
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