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MVTests  

Multivariate Hypothesis Tests
View on CRAN: Click here


Download and install MVTests package within the R console
Install from CRAN:
install.packages("MVTests")

Install from Github:
library("remotes")
install_github("cran/MVTests")

Install by package version:
library("remotes")
install_version("MVTests", "2.3.1")



Attach the package and use:
library("MVTests")
Maintained by
Hasan BULUT
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-18
Latest Update: 2023-11-03
Description:
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) , Tatlidil (1996), Tsagris (2014), Villasenor Alva and Estrada (2009) .
How to cite:
Hasan BULUT (2018). MVTests: Multivariate Hypothesis Tests. R package version 2.3.1, https://cran.r-project.org/web/packages/MVTests. Accessed 15 Oct. 2026.
Previous versions and publish date:
1.0 (2018-12-18 00:20), 1.1 (2019-07-30 10:30), 2.0.3 (2021-04-13 23:20), 2.0.8 (2021-07-08 17:30), 2.1.1 (2022-01-07 21:42), 2.2.2 (2023-11-03 17:40), 2.3.1 (2025-09-08 23:20), (2026-09-27 17:21)
Other packages that cited MVTests R package
View MVTests citation profile
Other R packages that MVTests depends, imports, suggests or enhances
Complete documentation for MVTests
Functions, R codes and Examples using the MVTests R package
Some associated functions: Bcov . BoxM . Bsper . Coated . Mpaired . OneSampleHT2 . RHT2 . RobCat . TwoSamplesHT2 . iris . simRHT2 . summary.MVTests . 
Some associated R codes: Bcov.R . BoxM.R . Bsper.R . Coated.R . Iris.R . Mpaired.R . OneSampleHT2.R . RHT2.R . RobCat.R . TwoSamplesHT2.R . simRHT2.R . summaryMVTests.R .  Full MVTests package functions and examples
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