R: Random Number Generator for Log or Gaussian Mixture Model

RandomLogGMM {AdaptGauss}

R Documentation

Random Number Generator for Log or Gaussian Mixture Model

Function finds the intersections of Gaussians or LogNormals

RandomLogGMM(Means,SDs,Weights,IsLogDistribution,TotalNoPoints)

`Means`	vector[1:L] of Means of Gaussians (of GMM)
`SDs`	vector of standard deviations, estimated Gaussian Kernels, has to be the same length as Means
`Weights`	vector of relative number of points in Gaussians (prior probabilities), has to be the same length as Means
`IsLogDistribution`	Optional, ==1 if distribution(i) is a LogNormal, default vector of Zeros of Length L
`TotalNoPoints`	Optional, number of point for log or GMM generated

Returns vector of [1:TotalNoPoints] of genrated points for log oder gaussian mixture model

Alfred Ultsch,Michael Thrun, Rabea Griese