mice (2.17)
Multivariate Imputation by Chained Equations.
http://www.stefvanbuuren.nl
http://www.multiple-imputation.com
http://cran.r-project.org/web/packages/mice
Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Maintainer:
Stef van Buuren
Author(s): Stef van Buuren and Karin Groothuis-Oudshoorn, with contributions from Alexander Robitzsch, Gerko Vink, Shahab Jolani and Lisa Doove
License: GPL-2 | GPL-3
Uses: lattice, MASS, nnet, rpart, Zelig, gamlss, lme4, mitools, nlme, pan, survival, AGD
Reverse depends: BaM, logistf, miP, SYNCSA
Reverse suggests: Hmisc, rattle, semTools
Released 6 days ago.
18 previous versions
- mice_2.16. Released 22 days ago.
- mice_2.15. Released about 1 month ago.
- mice_2.14. Released about 1 month ago.
- mice_2.13. Released 11 months ago.
- mice_2.12. Released about 1 year ago.
- mice_2.11. Released over 1 year ago.
- mice_2.10. Released over 1 year ago.
- mice_2.9. Released over 1 year ago.
- mice_2.8. Released about 2 years ago.
- mice_2.7. Released about 2 years ago.
- mice_2.6. Released about 2 years ago.
- mice_2.5. Released over 2 years ago.
- mice_2.4. Released over 2 years ago.
- mice_2.3. Released over 3 years ago.
- mice_2.1. Released over 3 years ago.
- mice_2.0. Released over 3 years ago.
- mice_1.21. Released about 4 years ago.
- mice_1.16. Released almost 6 years ago.
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Reviews
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Good package, could use more methods
mice is a good package for multiple imputation. The functions and arguments are easier to get started with than the mi package. All the functions…
jwiley.psych did not rate mice (2.8). Read the full review.
Related packages: Hmisc, mitools, mix, pan, car, dr, gmodels, ltm, Matrix, MNP, polycor, pls, psy, robustbase, sem, VIM, micEcon, nlme, sampling, survey … (20 best matches, based on common tags.)
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