apollo_mixUnconditionals function

Returns draws for continuously distributed random parameters in mixture model

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

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 .

Returns

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.

Details

This functions is only meant for use with continuous distributions