mydmvnorm

dmvnorm

mean

<p>The variance of each dimension. Assume the variance are the same for all dimensions.</p>

sigmasq

<p>Faster calculation of density of multivariate normal with
diagonal covariance matrix</p>

Performs 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 summarised as a hierarchical tree. Associated plot functions are also provided. There is a package vignette that provides many examples. This version adheres to CRAN policy of not spanning more than two child processes by default.

mydmvnorm: Calculate Density of Multivariate Normal for diagonal covariance

Description

Usage

Arguments