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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
Mdmr (), which regresses a distance matrix onto a set of predictors, and delta (), which computes measures of univariate effect size. 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.,.
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. The help files of all all three functions provide.
