nbh_chk: Check the parameters of the negative binomial HMM

In gorillayue/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 NBH paramters alpha, beta, and TRANS and returns the number of hidden states. It is used in nbh_em before running EM.

Usage

nbh_chk(TRANS, alpha, beta)

Arguments

TRANS	Expected a squared matrix of probabilities (0 ≤ p ≤ 1) with row and column length equal to that of alpha and beta and row sum and column sum both equal to 1 (within some numerical deviation of 1e-6).
alpha	Expected a vector of positive values with length equal to that of beta and the row/column of TRANS.
beta	Expected a vector of positive values with length equal to that of alpha and the row/column of TRANS.

Value

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

Author(s)

Yue Li

References

Bishop, Christopher. 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

nbh_em, nbm_chk

Examples

# two hidden states
TRANS <- matrix(c(0.9, 0.1, 0.3, 0.7), nrow=2, byrow=TRUE)

alpha <- c(2, 4)

beta  <- c(1, 0.25)

nbh_chk(TRANS, alpha, beta)

gorillayue/RIPSeeker documentation built on May 17, 2019, 7:59 a.m.