logLikelihoodcelda_G {celda}R Documentation

Calculate Celda_G log likelihood

Description

Calculates the log likelihood for user-provided feature module clusters using the 'celda_G()' model.

Usage

logLikelihoodcelda_G(counts, y, L, beta, delta, gamma)

Arguments

counts

Integer matrix. Rows represent features and columns represent cells.

y

Numeric vector. Denotes feature module labels.

L

Integer. Number of feature modules.

beta

Numeric. Concentration parameter for Phi. Adds a pseudocount to each feature module in each cell. Default 1.

delta

Numeric. Concentration parameter for Psi. Adds a pseudocount to each feature in each module. Default 1.

gamma

Numeric. Concentration parameter for Eta. Adds a pseudocount to the number of features in each module. Default 1.

Value

The log-likelihood for the given cluster assignments.

See Also

'celda_G()' for clustering features

Examples

data(celdaGSim)
loglik <- logLikelihoodcelda_G(celdaGSim$counts,
    y = celdaGSim$y,
    L = celdaGSim$L,
    beta = celdaGSim$beta,
    delta = celdaGSim$delta,
    gamma = celdaGSim$gamma)

loglik <- logLikelihood(celdaGSim$counts,
    model = "celda_G",
    y = celdaGSim$y,
    L = celdaGSim$L,
    beta = celdaGSim$beta,
    delta = celdaGSim$delta,
    gamma = celdaGSim$gamma)
[Package celda version 1.3.4 Index]