View source: R/bi_functional_clustering.R
biQ_function | R Documentation |
Q-function to replace log-likelihood function
biQ_function(par, prob_log, omega_log, X, k, n1, n2, times1, times2)
par |
numeric vector for parameters need to be estimated |
prob_log |
mixture component weights(log) |
omega_log |
latent variables(log) |
X |
matrix for cluster |
k |
vector for the cluster number |
n1 |
scalar for number of column contain first trait/location etc |
n2 |
scalar for number of column contain second trait/location etc |
times1 |
vector for the x values or time points |
times2 |
vector for the x values or time points |
the Loglikelihood value
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