loglik.2binormal.discrete: compute log-likelihood for mixture of two discretized...

In qunhualilab/gIDR: Generalized irreproducibile discovery rate

Description

compute log-likelihood for mixture of two discretized bivariate normals

Usage

loglik.2binormal.discrete(z.1.all, z.2.all, m.all, mu, sigma, rho, p,
  count.as.singleton = 1, top.missing = F)

Arguments

z.1.all	pseudo values for first normal.
z.2.all	pseduo values for second normal.
m.all	number of observations in each category.
mu	the mean of the reproducible component.
sigma	the standard deviation of the reproducible component.
rho	the correlation coefficient of the reproducible component.
p	the proportion of reproducible component.
count.as.singleton	the count being seen as singleton. Default is 1.
top.missing	if there are missing observations, top.missing=T.

Value

log-likehood for mixture of two discretized bivariate normals.

qunhualilab/gIDR documentation built on May 14, 2019, 10:38 a.m.