apollo_preprocess: Pre-process input for multiple models return

In apollo: Tools for Choice Model Estimation and Application

Pre-process input for multiple models return

Description

Pre-process input for multiple models return

Usage

apollo_preprocess(inputs, modelType, functionality, apollo_inputs)

Arguments

inputs	List of settings
modelType	Character. Type of model, e.g. "mnl", "nl", "cnl", etc.
functionality	Character. Setting instructing Apollo what processing to apply to the likelihood function. This is in general controlled by the functions that call apollo_probabilities, though the user can also call apollo_probabilities manually with a given functionality for testing/debugging. Possible values are: "components": For further processing/debugging, produces likelihood for each model component (if multiple components are present), at the level of individual draws and observations. "conditionals": For conditionals, produces likelihood of the full model, at the level of individual inter-individual draws. "estimate": For model estimation, produces likelihood of the full model, at the level of individual decision-makers, after averaging across draws. "gradient": For model estimation, produces analytical gradients of the likelihood, where possible. "output": Prepares output for post-estimation reporting. "prediction": For model prediction, produces probabilities for individual alternatives and individual model components (if multiple components are present) at the level of an observation, after averaging across draws. "preprocess": Prepares likelihood functions for use in estimation. "raw": For debugging, produces probabilities of all alternatives and individual model components at the level of an observation, at the level of individual draws. "report": Prepares output summarising model and choiceset structure. "shares_LL": Produces overall model likelihood with constants only. "validate": Validates model specification, produces likelihood of the full model, at the level of individual decision-makers, after averaging across draws. "zero_LL": Produces overall model likelihood with all parameters at zero.
apollo_inputs	List grouping most common inputs. Created by function apollo_validateInputs.

Value

The returned object is a pre-processed version of the model settings. This is independent of functionality, but the function is only called during preprocessing.

apollo documentation built on Oct. 2, 2024, 1:08 a.m.