This function estimates the adjacency matrix of a ZINB model given a matrix
of counts, using the optim function. Uses BiocParallel for parallelization.
Usage
zinb0.noT(X, maxcard, alpha, extend, nCores = 1)
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.
- nCores
number of cores for parallelization
Value
the estimated adjacency matrix of the graph.
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.
