apollo_makeCluster: Creates cluster for estimation.

View source: R/apollo_makeCluster.R

apollo_makeClusterR Documentation

Creates cluster for estimation.

Description

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

Usage

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

Arguments

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.

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.

Details

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

Value

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


apollo documentation built on Oct. 2, 2024, 1:08 a.m.