pool_performance_internal: Pooling performance measures over multiply imputed datasets

In mwheymans/psfmi: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets

Pooling performance measures over multiply imputed datasets

Description

pool_performance_internal Pooling performance measures

Usage

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.

mwheymans/psfmi documentation built on June 30, 2023, 5:25 a.m.