apollo_makeLogLike: Creates log-likelihood function.
In byu-transpolab/apollo: Tools for Choice Model Estimation and Application

Description Usage Arguments Details Value

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 = "BFGS"),
  cleanMemory = FALSE
)

`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 "estimate" (default), "prediction", "validate", "conditionals", "zero_LL", or "raw".
`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.

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

apollo_logLike function.

byu-transpolab/apollo documentation built on Dec. 19, 2021, 12:48 p.m.