apollo_unconditionals {apollo} R Documentation

## Returns unconditionals for models with random heterogeneity

### Description

Returns unconditionals for random parameters in model, both for continuous mixtures and latent class.

### Usage

apollo_unconditionals(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 models using continuous distributions or latent classes, or both at the same time.

### Value

Depends on whether the model uses continuous mixtures or latent class.

• If the model contains a continuous mixture, it returns a list with one object per random coefficient. When using inter-individual draws only, each element will be a matrix with one row per individual, and one column per draw. When using intra- individual draws, each element 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.

• If the model contains latent classes, it returns a list with as many elements as random coefficients in the model, plus one additional element containing the class allocation probabilities.

• If the model contains both continuous mixing and latent classes, a list with the two elements described above will be returned.

[Package apollo version 0.2.8 Index]