apollo_mixUnconditionals {apollo}

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.