clusterProbability.Rd
Get the probability of the cluster assignments generated during a celda run.
clusterProbability(counts, celda.mod, log = FALSE)
counts | Integer matrix. Rows represent features and columns represent cells. This matrix should be the same as the one used to generate `celda.mod`. |
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celda.mod | Celda model. Options available in `celda::available.models`. |
log | Logical. If FALSE, then the normalized conditional probabilities will be returned. If TRUE, then the unnormalized log probabilities will be returned. Default FALSE. |
celda.sim = simulateCells("celda_CG") celda.mod = celda_CG(celda.sim$counts, K=celda.sim$K, L=celda.sim$L, nchains=1, max.iter=1)#>#>#>#>#>#>#>#>#>#>#>#>#>cluster.prob = clusterProbability(celda.sim$counts, celda.mod)