Man pages for pzwiernik/LatentClass
Estimation of the latent class model for discrete data
| composite.llike | Compute the composite likelihood |
| compute.P | compute.P |
| constraints.theta | constraints.theta function |
| E.step | E-step of the EM algorithm |
| exact222 | Exact maximum likelihood for three binary variables |
| LC.CL | LC.CL function |
| LC.EM | LC.EM function |
| LC.MLE | LC.MLE function |
| llike | The log-likelihood function |
| M.step | M-step of the EM algorithm |
| sample.counts | Sample data |
| sample.Theta | Sample a parameter vector |
| test222 | Internal function to check if a 2x2x2 distribution lies in... |
| theta.list | Convert the parameter vector to a list in the internal format |
| theta.unlist | M-step of the EM algorithm |
