Create a parameter object for the function computeCovariateBalance
Source:R/CreateArgFunctions.R
createComputeCovariateBalanceArgs.RdCreate a parameter object for the function computeCovariateBalance
Usage
createComputeCovariateBalanceArgs(
subgroupCovariateId = NULL,
maxCohortSize = 250000,
covariateFilter = NULL
)Arguments
- subgroupCovariateId
Optional: a covariate ID of a binary covariate that indicates a subgroup of interest. Both the before and after populations will be restricted to this subgroup before computing covariate balance.
- maxCohortSize
If the target or comparator cohort are larger than this number, they will be downsampled before computing covariate balance to save time. Setting this number to 0 means no downsampling will be applied.
- covariateFilter
Determines the covariates for which to compute covariate balance. Either a vector of covariate IDs, or a table 1 specifications object as generated for example using FeatureExtraction::getDefaultTable1Specifications(). If covariateFilter = NULL, balance will be computed for all variables found in the data.