apollo_weighting: Applies weights

In apollo: Tools for Choice Model Estimation and Application

Applies weights

Description

Applies weights to individual observations in likelihood function.

Usage

apollo_weighting(P, apollo_inputs, functionality)

Arguments

P	List of vectors, matrices or 3-dim arrays. Likelihood of the model components.
apollo_inputs	List grouping most common inputs. Created by function apollo_validateInputs.
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.

Value

The likelihood (i.e. probability in the case of choice models) of the model in the appropriate form for the given functionality, multiplied by individual-specific weights.

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