mi
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.
- Version1.1
- R version≥ 3.0.0 methods,
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- mi citation info
- Last release06/06/2022
Documentation
Team
Ben Goodrich
Andrew Gelman
Show author detailsRolesContributorJennifer Hill
Show author detailsRolesContributorYu-Sung Su
Show author detailsRolesAuthorMasanao Yajima
Show author detailsRolesContributorMaria Pittau
Show author detailsRolesContributorYajuan Si
Show author detailsRolesContributorJon Kropko
Show author detailsRolesAuthor
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- Depends3 packages
- Imports1 package
- Suggests10 packages
- Reverse Depends1 package
- Reverse Imports3 packages