Calculates apollo_probabilities with functionality="prediction".
apollo_prediction(
model,
apollo_probabilities,
apollo_inputs,
prediction_settings = list(),
modelComponent = NA
)A list containing predictions for component modelComponent of the model described in apollo_probabilities.
The particular shape of the prediction will depend on the model component.
Model object. Estimated model object as returned by function apollo_estimate.
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".
List grouping most common inputs. Created by function apollo_validateInputs.
List. Contains settings for this function. User input is required for all settings except those with a default or marked as optional.
modelComponent: Character. Name of component of apollo_probabilities output to calculate predictions for. Default is to predict for all components.
nRep: Scalar integer. Only used for models that require simulation for prediction (e.g. MDCEV). Number of draws used to calculate prediction. Default is 100.
runs: Numeric. Number of runs to use for computing confidence intervals of predictions.
silent: Boolean. If TRUE, this function won't print any output to screen.
summary: Boolean. If TRUE, a summary of the prediction is printed to screen. TRUE by default.
Deprecated. Same as modelComponent inside prediction_settings.
Structure of predictions are simplified before returning, e.g. list of vectors are turned into a matrix.