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Mdmr (multivariate distance matrix regression) is used to regress a distance matrix onto a set of predictors Mdmr, which regresses a distance matrix onto a set of predictors, and delta, which computes measures of univariate effect size in. There are two primary functions that comprise this package

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Mdmr (), which regresses a distance matrix onto a set of predictors, and delta (), which computes measures of univariate effect size in. There are three primary functions that comprise this package This function is the fastest approach to conducting mdmr

It uses the fastest known computational strategy to compute the mdmr test statistic (see appendix a of mcartor et al., 2017), and it uses.

The mdmr package implements multivariate distance matrix regression in r using new developments to the method provided by mcartor et al In this paper we consider the level accuracy and power of mdmr analysis assuming different distance measures and analysis settings We also describe the utility of mdmr analysis. The help files of all all three functions provide.