computeGridDensity: computeGridDensity

View source: R/computeGridDensity.R

computeGridDensityR Documentation

computeGridDensity

Description

computeGridDensity

Usage

computeGridDensity(XKernel, YKernel, Means, Covariances, Weights)

Arguments

XKernel

[1:x] Numeric vector defining domain of x axis.

YKernel

[1:x] Numeric vector defining domain of y axis.

Means

List of l two-dimensional numeric vectors carrying mean vector.

Covariances

List of l 2x2 numeric matrices carrying covariance matrices.

Weights

[1:l] Numeric vector with l weights for l Gaussian Mixture Model components.

Value

GridDensity

[1:x, 1:x] Numeric matrix with PDF for a GMM with one or more Gaussians on a Grid defined by the vectors XKernel and YKernel.

Author(s)

Quirin Stier


Mthrun/AdaptGauss2D documentation built on July 19, 2022, 3:11 a.m.