apollo_lcUnconditionals: Returns draws for random parameters in a latent class model...

In byu-transpolab/apollo-byu: Tools for Choice Model Estimation and Application

Description

Returns draws (unconditionals) for random parameters in model, including interactions with deterministic covariates

Usage

apollo_lcUnconditionals(model, apollo_probabilities, apollo_inputs)

Arguments

model	Model object. Estimated model object as returned by function apollo_estimate.
apollo_probabilities	Function. Returns probabilities of the model to be estimated. Must receive three arguments: apollo_beta: Named numeric vector. Names and values of model parameters. apollo_inputs: List containing options of the model. See apollo_validateInputs. functionality: Character. Can be either "estimate" (default), "prediction", "validate", "conditionals", "zero_LL", or "raw".
apollo_inputs	List grouping most common inputs. Created by function apollo_validateInputs.

Details

This functions is only meant for use with continuous distributions

Value

List of object, one per random component and one for the class allocation probabilities.

byu-transpolab/apollo-byu documentation built on Dec. 19, 2021, 12:49 p.m.