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-miLabel | Latest Version |
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main | 1.1 |
cf201901 | 1.0 |
cf202003 | 1.0 |
gcc7 | 1.0 |