RobCat

<code>RobCat</code> computes p value based on robust CAT algorithm to compare two means vectors 
under multivariate Behrens-Fisher problem.

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>.

Hasan BULUT

MVTests

Multivariate Hypothesis Tests

RobCat function

<dl><dt>X</dt>
<dd>a matrix or data frame for first group.</dd>
<dt>Y</dt>
<dd>a matrix or data frame for second group.</dd>
<dt>M</dt>
<dd>iteration number and the default is 1000.</dd>
<dt>alpha</dt>
<dd>numeric parameter controlling the size of the subsets over which the determinant is minimized; roughly alpha*n, observations are used for computing the determinant. Allowed values are between 0.5 and 1 and the default is 0.75.</dd></dl>

Arguments

Hasan BULUT &lt;hasan.bulut@omu.edu.tr&gt;

Author

Robust CAT Algorithm — RobCat

<dl>

<dt>X</dt>
<dd>a matrix or data frame for first group.</dd>


<dt>Y</dt>
<dd>a matrix or data frame for second group.</dd>


<dt>M</dt>
<dd>iteration number and the default is 1000.</dd>


<dt>alpha</dt>
<dd>numeric parameter controlling the size of the subsets over which the determinant is minimized; roughly alpha*n, observations are used for computing the determinant. Allowed values are between 0.5 and 1 and the default is 0.75.</dd>

</dl>

RobCat: Robust CAT Algorithm

Description

Usage

Value

Arguments

Author

Details

Examples