RandomLogGMM {AdaptGauss} | R Documentation |

## Random Number Generator for Log or Gaussian Mixture Model

### Description

Function finds the intersections of Gaussians or LogNormals

### Usage

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

### Arguments

`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 |

### Value

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

### Author(s)

Alfred Ultsch,Michael Thrun, Rabea Griese

### See Also

[Package

*AdaptGauss*version 1.6 Index]