Pdf4Mixtures {AdaptGauss} | R Documentation |

## Calculates pdf for GMM

### Description

Calculate Gaussianthe probability density function for a Mixture Model

### Usage

```
Pdf4Mixtures(Data, Means, SDs, Weights,IsLogDistribution,PlotIt)
```

### Arguments

`Data` |
vector (1:N) of data points |

`Means` |
vector[1:L] of Means of Gaussians (of GMM),L == Number of Gaussians |

`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 1:L |

`PlotIt` |
Optional: =TRUE plot of pdf |

### Value

List with

`PDF4modes` |
matrix, where the columns are the gaussians |

`PDF` |
matrix, where the columns are the gaussians weighted by Weights |

`PDFmixture` |
linear superpositions of PDF - prior probabilities of Gaussians |

### Author(s)

Michael Thrun

### See Also

### Examples

```
data=c(rnorm(1000),rnorm(2000)+2,rnorm(1000)*2-1)
Pdf4Mixtures(data,c(-1,0,2),c(2,1,1),c(0.25,0.25,0.5), PlotIt=TRUE)
```

[Package

*AdaptGauss*version 1.6 Index]