Missing Data Imputation and Model Checking

The mi package provides functions for data manipulation, imputing missing values in an approximate Bayesian framework, diagnostics of the models used to generate the imputations, confidence-building mechanisms to validate some of the assumptions of the imputation algorithm, and functions to analyze multiply imputed data sets with the appropriate degree of sampling uncertainty.

Tests Vignettes

Available Snapshots

This version of mi can be found in the following snapshots:


Imports/Depends/LinkingTo/Enhances (2)
  • R
  • arm >= 1.4-11
  • Suggests (4)
  • betareg
  • knitr
  • sn
  • truncnorm
  • Version History