apollo_estimateHB function

Estimates model using Bayesian estimation

Estimates a model using Bayesian estimation on the likelihood function defined by apollo_probabilities.

apollo_estimateHB(
  apollo_beta,
  apollo_fixed,
  apollo_probabilities,
  apollo_inputs,
  estimate_settings = NA
)

Arguments

• apollo_beta: Named numeric vector. Names and values for parameters.

• apollo_fixed: Character vector. Names (as defined in apollo_beta) of parameters whose value should not change during estimation.

• 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 .

• estimate_settings: List. Options controlling the estimation process, as used for in apollo_estimate .

Returns

model object

Details

This is a sub function of apollo_estimate which is called when using Bayesian estimation.