CDFMixtures {AdaptGauss} | R Documentation |

## cumulative distribution of mixture model

### Description

returns the cdf (cumulative distribution function) of a mixture model of gaussian or log gaussians

### Usage

```
CDFMixtures(Kernels,Means,SDs,Weights,IsLogDistribution)
```

### Arguments

`Kernels` |
at these locations N(Means,Sdevs)*Weights is used for cdf calcuation, NOTE: Kernels are usually (but not necessarily) sorted and unique |

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

`SDs` |
estimated Gaussian Kernels = standard deviations |

`Weights` |
optional, relative number of points in Gaussians (prior probabilities): sum(Weights) ==1, default weight is 1/L |

`IsLogDistribution` |
Optional, if IsLogDistribution(i)==1, then mixture is lognormal default == 0*(1:L) |

### Value

List with

`CDFGaussMixture` |
(1:N,1), cdf of Sum of SingleGaussians at Kernels |

`CDFSingleGaussian` |
(1:N,1:L) ,cdf of mixtures at Kernels |

### Author(s)

Rabea Griese

### See Also

[Package

*AdaptGauss*version 1.6 Index]