pool_performance_internal function

Pooling performance measures over multiply imputed datasets

pool_performance_internal Pooling performance measures

pool_performance_internal(data, formula, nimp, impvar)

Arguments

• data: Data frame with stacked multiple imputed datasets. The original dataset that contains missing values must be excluded from the dataset.
• formula: A formula object to specify the model as normally used by glm.
• nimp: A numerical scalar. Number of imputed datasets. Default is 5.
• impvar: A character vector. Name of the variable that distinguishes the imputed datasets.