`R/CreateArgFunctions.R`

`createComputeCovariateBalanceArgs.Rd`

Create a parameter object for the function computeCovariateBalance

```
createComputeCovariateBalanceArgs(
subgroupCovariateId = NULL,
maxCohortSize = 250000,
covariateFilter = NULL
)
```

- 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.

Create an object defining the parameter values.