apollo_avgInterDraws function

Averages across inter-individual draws.

Averages individual-specific likelihood across inter-individual draws.

apollo_avgInterDraws(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.

Returns

Argument P with (for most functionalities) the original contents averaged over inter-individual draws. Shape depends on argument functionality.

• ‘"components"’ : Returns P without changes.
• ‘"conditionals"’ : Returns P without averaging across draws. Drops all components except "model".
• ‘"estimate"’ : Returns P containing the likelihood of the model averaged across inter-individual draws. Drops all components except "model".
• ‘"gradient"’ : Returns P containing the gradient of the likelihood averaged across inter-individual draws. Drops all components except "model".
• ‘"output"’ : Returns P containing the likelihood of all model components averaged across inter-individual draws.
• ‘"prediction"’ : Returns P containing the probabilities/likelihoods of all alternatives for all model components averaged across inter-individual draws.
• ‘"preprocess"’ : Returns P without changes.
• ‘"raw"’ : Returns P without changes.
• ‘"report"’ : Returns P without changes.
• ‘"shares_LL"’ : Returns P without changes.
• ‘"validate"’ : Returns P containing the likelihood of the model averaged across inter-individual draws. Drops all components except "model".
• ‘"zero_LL"’ : Returns P without changes.