Man pages for pzwiernik/LatentClass
Estimation of the latent class model for discrete data

composite.llikeCompute the composite likelihood
constraints.thetaconstraints.theta function
E.stepE-step of the EM algorithm
exact222Exact maximum likelihood for three binary variables
LC.CLLC.CL function
LC.EMLC.EM function
LC.MLELC.MLE function
llikeThe log-likelihood function
M.stepM-step of the EM algorithm
sample.countsSample data
sample.ThetaSample a parameter vector
test222Internal function to check if a 2x2x2 distribution lies in...
theta.listConvert the parameter vector to a list in the internal format
theta.unlistM-step of the EM algorithm
pzwiernik/LatentClass documentation built on May 26, 2019, 11:35 a.m.