zinb1.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

Description

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

Usage

zinb1.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 depends on both the mean parameter and the zero inflation parameter. We call this model 'zinb1'.

Value

the estimated adjacency matrix of the graph.

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