zinb0.noT: Structure learning with zero-inflated negative binomial model...

In drisso/learn2count: Structure Learning for Count Data

Structure learning with zero-inflated negative binomial model (mean only)

Description

This function estimates the adjacency matrix of a ZINB model given a matrix of counts, using the optim function.

Usage

zinb0.noT(X, maxcard, alpha, extend)

Arguments

X	the matrix of counts (n times p).
maxcard	the uper bound of the cardinality of the conditional sets K
alpha	the significant level of the tests
extend	if TRUE it considers the union of the tests, otherwise it considers the intersection.

Details

This approach assumes that the structure of the graph only depends on the mean parameter, treating zero inflation as a technical noise effect. We call this model 'zinb0'.

Value

the estimated adjacency matrix of the graph.

drisso/learn2count documentation built on July 15, 2024, 11:13 p.m.