RIPSeeker (version 1.12.0)

nbm_chk: Check the parameters of the negative binomial mixture model

Description

The function verifies the numerical range and dimension of the NBM paramters alpha, beta, and wght and returns the number of components. It is used in nbm_em before running EM.

Usage

nbm_chk(alpha, beta, wght)

Arguments

alpha

Expected a vector of positive values with length equal to that of beta and wght.

beta

Expected a vector of positive values with length equal to that of alpha and wght.

wght

Expected a vector of probabilities ($0 \le p \le 1$) with length equal to that of alpha and beta and summed to 1 (within some numerical deviation of 1e-6).

Value

• N
  Number of components or equivalently the length of alpha, beta, or wght.

References

Christopher Bishop. Pattern recognition and machine learning. Number 605-631 in Information Science and Statisitcs. Springer Science, 2006.

Capp'e, O. (2001). H2M : A set of MATLAB/OCTAVE functions for the EM estimation of mixtures and hidden Markov models. (http://perso.telecom-paristech.fr/cappe/h2m/)

See Also

nbm_em, nbh_chk

Examples

# two mixing components
wght <- c(0.5,0.5)

alpha <- c(1, 20)

beta <- c(1, 1)

nbm_chk(alpha, beta, wght)