mydmvnorm

dmvnorm

mean

The variance of each dimension. Assume the variance are the same for all dimensions.

sigmasq

Faster calculation of density of multivariate normal with
diagonal covariance matrix

Perfroms Modal Clustering (MAC) including Hierarchical
        Modal Clustering (HMAC) along with their parallel
        implementation (PHMAC) over several processors.  These
        model-based non-parametric clustering techniques can extract
        clusters in very high dimensions with arbitrary density shapes.
        By default clustering is performed over several resolutions and
        the results are summarized as a hierarchical tree. Associated
        plot functions are also provided. There is a package vignette
        that provides many examples.

mydmvnorm: Calculate Density of Multivariate Normal for diagonal covariance

Description

Usage

Arguments