apollo_lc: Calculates the likelihood of a latent class model
In byu-transpolab/apollo: Tools for Choice Model Estimation and Application

Using the conditional likelihoods of each latent class, as well as teir classification probabilities, calculate the weighted likelihood of the whole model.

1	apollo_lc(lc_settings, apollo_inputs, functionality)

lc_settings

List of arguments used by apollo_lc. It must include the following.

inClassProb: List of probabilities. Conditional likelihood for each class. One element per class, in the same order as classProb.
classProb: List of probabilities. Allocation probability for each class. One element per class, in the same order as inClassProb.
componentName: Character. Name given to model component.

apollo_inputs

List grouping most common inputs. Created by function apollo_validateInputs.

functionality

Character. Can take different values depending on desired output.

"estimate" Used for model estimation.
"prediction" Used for model predictions.
"validate" Used for validating input.
"zero_LL" Used for calculating null likelihood.
"conditionals" Used for calculating conditionals.
"output" Used for preparing output after model estimation.
"raw" Used for debugging.
"components" Returns P without changes.

The returned object depends on the value of argument functionality as follows.

"estimate": vector/matrix/array. Returns the probabilities for the chosen alternative for each observation.
"prediction": List of vectors/matrices/arrays. Returns a list with the probabilities for all models components, for each class.
"validate": Same as "estimate", but also runs a set of tests on the given arguments.
"zero_LL": Same as "estimate"
"conditionals": Same as "estimate"
"output": Same as "estimate" but also writes summary of input data to internal Apollo log.
"raw": Same as "prediction"