logLikelihood: Calculate a log-likelihood for a user-provided cluster...

In compbiomed/celda: CEllular Latent Dirichlet Allocation

Description

Calculate a log-likelihood for a user-provided cluster assignment and count matrix, per the desired celda model.

Usage

logLikelihood(counts, model, ...)

Arguments

counts	The counts matrix used to generate the provided cluster assignments.
model	Celda model. Options available in 'celda::available.models'.
...	Additional parameters.

Value

The log-likelihood of the provided cluster assignment for the provided counts matrix.

Examples

loglik = logLikelihood(celda.CG.sim$counts, model="celda_CG", 
                       sample.label=celda.CG.sim$sample.label,
                       z=celda.CG.sim$z, y=celda.CG.sim$y,
                       K=celda.CG.sim$K, L=celda.CG.sim$L,
                       alpha=celda.CG.sim$alpha, beta=celda.CG.sim$beta,
                       gamma=celda.CG.sim$gamma, delta=celda.CG.sim$delta)

compbiomed/celda documentation built on May 25, 2019, 3:58 a.m.