apollo: apollo_makeCluster – R documentation

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apollo_makeCluster

Creates cluster for estimation.

Splits data, creates cluster and loads different pieces of the database on each worker.

apollo_makeCluster(
  apollo_probabilities,
  apollo_inputs,
  silent = FALSE,
  cleanMemory = FALSE
)

`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.
`silent`	Boolean. If TRUE, no messages are printed to the terminal. FALSE by default. It overrides `apollo_inputs$silent`.
`cleanMemory`	Boolean. If TRUE, it saves apollo_inputs to disc, and removes database and draws from the apollo_inputs in .GlobalEnv and the parent environment.

Internal use only. Called by apollo_estimate before estimation. Using multiple cores greatly increases memory consumption.

Cluster (i.e. an object of class cluster from package parallel)

Tools for Choice Model Estimation and Application

v0.2.4

GPL-2

Authors

Stephane Hess [aut], David Palma [aut, cre]

Initial release