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Multivariate hypothesis tests and the confidence intervals. It can be used to test the hypothesizes about mean vector or vectors (one-sample, two independent samples, paired samples), covariance matrix (one or more matrices), and the correlation matrix. Moreover, it can be used for robust Hotelling T^2 test at one sample case in high dimensional data. For this package, we have benefited from the studies Rencher (2003), Nel and Merwe (1986) <doi:10.1080/03610928608829342>, Tatlidil (1996), Tsagris (2014), Villasenor Alva and Estrada (2009) <doi:10.1080/03610920802474465>.
Version: | 2.2.2 |
Depends: | R (≥ 4.0) |
Imports: | stats, rrcov, mvtnorm, robustbase |
Published: | 2023-11-03 |
DOI: | 10.32614/CRAN.package.MVTests |
Author: | Hasan BULUT [aut,cre] |
Maintainer: | Hasan BULUT <hasan.bulut at omu.edu.tr> |
License: | GPL-2 |
NeedsCompilation: | no |
Citation: | MVTests citation info |
CRAN checks: | MVTests results |
Reference manual: | MVTests.pdf |
Package source: | MVTests_2.2.2.tar.gz |
Windows binaries: | r-devel: MVTests_2.2.2.zip, r-release: MVTests_2.2.2.zip, r-oldrel: MVTests_2.2.2.zip |
macOS binaries: | r-release (arm64): MVTests_2.2.2.tgz, r-oldrel (arm64): MVTests_2.2.2.tgz, r-release (x86_64): MVTests_2.2.2.tgz, r-oldrel (x86_64): MVTests_2.2.2.tgz |
Old sources: | MVTests archive |
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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.