# Multivariate Distance Matrix Regression

### Description

`MDMR`

allows a user to conduct multivariate distance matrix regression
using analytic p-values and measures of effect size described by McArtor et
al. (second revision under review). Analytic p-values are computed using the
R package CompQuadForm (Duchesne & De Micheaux, 2010).

### Usage

To access this package's tutorial, type the following line into the console:

`vignette('mdmr-vignette')`

There are two primary functions that comprise this package:
`mdmr`

, which regresses a distance matrix onto a set of
predictors, and `delta`

, which computes measures of univariate
effect size in the context of multivariate distance matrix regression. The
help files of both functions provide more general information than the
package vignette.

### References

Davies, R. B. (1980). The Distribution of a Linear Combination of chi-square Random Variables. Journal of the Royal Statistical Society. Series C (Applied Statistics), 29(3), 323-333.

Duchesne, P., & De Micheaux, P.L. (2010). Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods. Computational Statistics and Data Analysis, 54(4), 858-862.

McArtor, D. B., Lubke, G. H., & Bergeman, C. S. (second revision under review). Extending multivariate distance matrix regression with an effect size measure and the distribution of the test statistic.

### Examples

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