apollo_mixConditionals {apollo}

Calculates conditionals for continuous mixture models

Description

Calculates posterior expected values (conditionals) of continuously distributed random coefficients, as well as their standard deviations.

Usage

apollo_mixConditionals(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 matrices. Each matrix has dimensions nIndiv x 3. One matrix per random component. Each row of each matrix contains the indivID of an individual, and the posterior mean and s.d. of this random component for this individual