tools: Set of supplementary functions for bgmm package

In bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling

Description

Set of supplementary functions for bgmm package.

Usage

## S3 method for class 'numeric'
determinant(x, logarithm = TRUE, ...)
 
 map(B) 
 
 loglikelihood.mModel(model, X) 
 

Arguments

x	a single number.
X	a data.frame with the unlabeled observations, the rows correspond to the observations and the columns to the dimensions of the data.
B	a beliefs matrix with the distribution of beliefs for the labeled observations.
model	an object of the class mModel.
logarithm, ...	these arguments are ignored.

Author(s)

Przemyslaw Biecek

References

Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software.

Examples

data(genotypes)

map(genotypes$B)

bgmm documentation built on Oct. 10, 2021, 5:07 p.m.