apollo_makeLogLike function

Creates log-likelihood function.

Creates log-likelihood function from the likelihood function apollo_probabilities provided by the user.

apollo_makeLogLike(
  apollo_beta,
  apollo_fixed,
  apollo_probabilities,
  apollo_inputs,
  apollo_estSet = list(estimationRoutine = "bgw"),
  cleanMemory = FALSE
)

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 .

• apollo_estSet: List of estimation options. It must contain at least one element called estimationRoutine defining the estimation algorithm. See apollo_estimate .

• cleanMemory: Logical. If TRUE, then apollo_inputs$draws and apollo_inputs$database are erased throughout the calling stack. Used to reduce memory usage in case of multithreading and a large database or number o draws.

Returns

apollo_logLike function.

Details

Internal use only. Called by apollo_estimate before estimation. The returned function can be single-threaded or multi-threaded based on the model options.