Create CohortMethod multi-threading settings

Source: R/RunAnalyses.R

Create CohortMethod multi-threading settings

createMultiThreadingSettings(
  getDbCohortMethodDataThreads = 1,
  createPsThreads = 1,
  psCvThreads = 1,
  createStudyPopThreads = 1,
  trimMatchStratifyThreads = 1,
  computeSharedBalanceThreads = 1,
  computeBalanceThreads = 1,
  prefilterCovariatesThreads = 1,
  fitOutcomeModelThreads = 1,
  outcomeCvThreads = 1,
  calibrationThreads = 1
)

Arguments

getDbCohortMethodDataThreads

The number of parallel threads to use for building the cohortMethod data objects.

createPsThreads

The number of parallel threads to use for fitting the propensity models.

psCvThreads

The number of parallel threads to use for the cross- validation when estimating the hyperparameter for the propensity model. Note that the total number of CV threads at one time could be createPsThreads * psCvThreads.

createStudyPopThreads

The number of parallel threads to use for creating the study population.

trimMatchStratifyThreads

The number of parallel threads to use for trimming, matching and stratifying.

computeSharedBalanceThreads

The number of parallel threads to use for computing shared covariate balance.

computeBalanceThreads

The number of parallel threads to use for computing covariate balance.

prefilterCovariatesThreads

The number of parallel threads to use for prefiltering covariates.

fitOutcomeModelThreads

The number of parallel threads to use for fitting the outcome models.

outcomeCvThreads

The number of parallel threads to use for the cross- validation when estimating the hyperparameter for the outcome model. Note that the total number of CV threads at one time could be fitOutcomeModelThreads * outcomeCvThreads.

calibrationThreads

The number of parallel threads to use for empirical calibration.

Value

An object of type CmMultiThreadingSettings.