factor.responses

annotation vector with discrete factor levels, and named by the samples

annotation.vector

List of groupings. Each model should have a sample-cluster assignment matrix qofz, or a vector of cluster indices named by the samples.

groupings

method

min.size

data (samples x features; or a vector in univariate case)

data

List responses for each level of the given factor

utilities

Algorithms for functional network analysis. Includes an
    implementation of a variational Dirichlet process Gaussian
    mixture model for nonparametric mixture modeling.

factor.responses: Factor responses

Description

Usage

Arguments

Value

References