Using the conditional likelihoods of each latent class, as well as teir classification probabilities, calculate the weighted likelihood of the whole model.
apollo_lc(lc_settings, apollo_inputs, functionality)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.
List grouping most common inputs. Created by function apollo_validateInputs.
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.
"shares_LL": Used for calculating likelihood with constants only.
"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"
"shares_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"