apollo_mixUnconditionals: Returns draws for continuously distributed random parameters...

In apollo: Tools for Choice Model Estimation and Application

Returns draws for continuously distributed random parameters in mixture model

Description

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

Usage

apollo_mixUnconditionals(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 "components", "conditionals", "estimate" (default), "gradient", "output", "prediction", "preprocess", "raw", "report", "shares_LL", "validate" or "zero_LL".
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 coefficient. With inter-individual draws only, this will be a matrix, with one row per individual, and one column per draw. With intra-individual draws, this will be a three-dimensional array, with one row per observation, inter-individual draws in the second dimension, and intra-individual draws in the third dimension.

apollo documentation built on Oct. 2, 2024, 1:08 a.m.