logLikelihood {celda}R Documentation

Calculate LogLikelihood

Description

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

Usage

logLikelihood(counts, model, ...)

Arguments

counts

The counts matrix used to generate the provided cluster assignments.

model

celdaModel. Options available in 'celda::availableModels'.

...

Additional parameters.

Value

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

Examples

data(celdaCGSim)
loglik <- logLikelihood(celdaCGSim$counts,
    model = "celda_CG",
    sampleLabel = celdaCGSim$sampleLabel,
    z = celdaCGSim$z, y = celdaCGSim$y,
    K = celdaCGSim$K, L = celdaCGSim$L,
    alpha = celdaCGSim$alpha, beta = celdaCGSim$beta,
    gamma = celdaCGSim$gamma, delta = celdaCGSim$delta
)

[Package celda version 1.0.3 Index]