rbmi-package: rbmi: Reference Based Multiple Imputation

In rbmi: Reference Based Multiple Imputation

rbmi: Reference Based Multiple Imputation

Description

The rbmi package is used to perform reference based multiple imputation. The package provides implementations for common, patient-specific imputation strategies whilst allowing the user to select between various standard Bayesian and frequentist approaches.

The package is designed around 4 core functions:

• draws() - Fits multiple imputation models

• impute() - Imputes multiple datasets

• analyse() - Analyses multiple datasets

• pool() - Pools multiple results into a single statistic

To learn more about rbmi, please see the quickstart vignette:

vignette(topic= "quickstart", package = "rbmi")

Author(s)

Maintainer: Isaac Gravestock [e-mail]

Authors:

• Craig Gower-Page [e-mail]

• Alessandro Noci [e-mail]

• Daniel Sabanes Bove [e-mail]

Other contributors:

• Marcel Wolbers [e-mail] [contributor]

• F. Hoffmann-La Roche AG [copyright holder, funder]

See Also

Useful links:

• https://insightsengineering.github.io/rbmi/

• https://github.com/insightsengineering/rbmi

• Report bugs at https://github.com/insightsengineering/rbmi/issues

rbmi documentation built on April 12, 2025, 1:45 a.m.