nbm_chk: Check the parameters of the negative binomial mixture model

In RIPSeeker: RIPSeeker: a statistical package for identifying protein-associated transcripts from RIP-seq experiments

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 ≤ p ≤ 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.

Author(s)

Yue Li

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)

RIPSeeker documentation built on Oct. 31, 2019, 7:29 a.m.