bgmm (version 1.8.5)

Supplementary functions: Set of supplementary functions for bgmm package

Description

Set of supplementary functions for bgmm package.

Usage

# S3 method for 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.

References

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

Examples

# NOT RUN {
data(genotypes)

map(genotypes$B)
# }