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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.

copied from cf-staging / r-mi
Label Latest Version
main 1.1
cf201901 1.0
cf202003 1.0
gcc7 1.0

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