This function calculates the log likelihood of each clustering of genes generated over multiple iterations of Gibbs sampling.
# S3 method for celda_G
calculateLoglikFromVariables(counts, y, L, beta, delta, gamma,
...)A numeric count matrix
A numeric vector of gene cluster assignments
The number of clusters being considered
The Dirichlet distribution parameter for Phi; adds a pseudocount to each transcriptional state within each cell
The Dirichlet distribution parameter for Eta; adds a gene pseudocount to the numbers of genes each state
The Dirichlet distribution parameter for Psi; adds a pseudocount to each gene within each transcriptional state
Additional parameters
The log likelihood of the provided cluster assignment, as calculated by the celda_G likelihood function