RandomLogGMM

Function finds the intersections of Gaussians or LogNormals

log GMM

Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015) <DOI:10.3390/ijms161025897>.

Michael Thrun

AdaptGauss

Gaussian Mixture Models (GMM)

Onno Hansen-Goos

Rabea Griese

Catharina Lippmann

Florian Lerch

Quirin Stier

Jorn Lotsch

Luca Brinkmann

Alfred Ultsch

RandomLogGMM function

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

Arguments

Alfred Ultsch,Michael Thrun, Rabea Griese

Author

Random Number Generator for Log or Gaussian Mixture Model — RandomLogGMM

<dl>

 <dt>Means</dt>
<dd>vector[1:L] of Means of Gaussians (of GMM)</dd>

 <dt>SDs</dt>
<dd>vector of standard deviations, estimated Gaussian Kernels, has to be the same length as Means</dd>

 <dt>Weights</dt>
<dd>vector of relative number of points in Gaussians (prior probabilities), has to be the same length as Means</dd>

 <dt>IsLogDistribution</dt>
<dd>Optional, ==1 if distribution(i) is a LogNormal, default vector of Zeros of Length L</dd>

 <dt>TotalNoPoints</dt>
<dd>Optional, number of point for log or GMM generated</dd>


</dl>

RandomLogGMM: Random Number Generator for Log or Gaussian Mixture Model

Description

Usage

Value

Arguments

Author

See Also