createMultiThreadingSettings | R Documentation |
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
)
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 |
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 |
calibrationThreads |
The number of parallel threads to use for empirical calibration. |
An object of type CmMultiThreadingSettings
.
createDefaultMultiThreadingSettings()
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