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MVTests (version 2.2.2)

Multivariate Hypothesis Tests

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) .

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Version

Install

install.packages('MVTests')

Monthly Downloads

834

Version

2.2.2

License

GPL-2

Maintainer

Hasan BULUT

Last Published

November 3rd, 2023

Functions in MVTests (2.2.2)

Mpaired

Multivariate Paired Test
BoxM

Box's M Test
RobCat

Robust CAT Algorithm
Coated

Coated
RperT2

Robust Permutation Hotelling T^2 Test in High Dimensional Data
OneSampleHT2

One Sample Hotelling T^2 Test
Bcov

Bartlett's Test for One Sample Covariance Matrix
RHT2

Robust Hotelling T^2 Test for One Sample in High Dimensional Data
Bsper

Bartlett's Sphericity Test
TR2

Robust Hotelling T^2 Test Statistic
TwoSamplesHT2

Two Independent Samples Hotelling T^2 Test
simRHT2

Monte Carlo Simulation to obtain d and q constants for RHT2 function
summary.MVTests

Summarizing Results in MVTests Package
iris

Iris Data