negbin.rel.clust: Relative Likelihood based clustering assuming Negative...

In marl: Multivariate Analysis Based on Relative Likelihoods

Description

The function provides weighted relative likelihood function matrix, cluster assigment based on k means clustering, and plot of weighted relative likelihood functions with colors representing cluster assignment. Each observation in the dataset is assumed to follow negative binomial distribution.

Usage

negbin.rel.clust(x, mu.min, mu.max, nclust = 2, len = 200, plot = TRUE, seed = 132)

Arguments

x	Observations of length greater than 1. Data can be entered as matrix or list.
mu.min	Minimum value of mu for the relative likelihood function.
mu.max	Maximum value of mu for the relative likelihood function.
nclust	Number of Clusters.
len	Length of values to be evaluated at in between mu.min and mu.max.
plot	If set TRUE, provides plot of weighted relative likelihood functions colored by their cluster assignment.
seed	Seed to be set for reproducibile results.

Details

For mathematical details, please contact the authors.

Value

Wt.Rel.Likld	A matrix of weighted relative likelihood functions with rows indicating observations. The column names are the values at which the weighted relative likelihood functions are evaluated.
Cluster.Assignment	Cluster assignment for each observation.
table	Table summarizing size of clusters.

Note

None.

Author(s)

Milan Bimali

References

None.

Examples

x <- sim.negbin(c(4,5,10),3,10,12)
negbin.rel.clust(x,1,20,nclust = 3,len=200,plot=TRUE,seed=132)

marl documentation built on May 1, 2019, 9:17 p.m.