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Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. 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.

copied from cf-staging / r-mice
Type Size Name Uploaded Downloads Labels
conda 1.3 MB | win-64/r-mice-3.13.0-r41ha856d6a_0.tar.bz2  4 years and 2 months ago 855 main
conda 1.3 MB | osx-64/r-mice-3.13.0-r40h9951f98_0.tar.bz2  4 years and 2 months ago 196 main
conda 1.3 MB | osx-64/r-mice-3.13.0-r41h9951f98_0.tar.bz2  4 years and 2 months ago 287 main
conda 1.3 MB | linux-64/r-mice-3.13.0-r41h03ef668_0.tar.bz2  4 years and 2 months ago 3989 main
conda 1.4 MB | win-64/r-mice-3.13.0-r40ha856d6a_0.tar.bz2  4 years and 6 months ago 988 main
conda 1.4 MB | win-64/r-mice-3.13.0-r36ha856d6a_0.tar.bz2  4 years and 6 months ago 1106 main
conda 1.3 MB | osx-64/r-mice-3.13.0-r36h4efb63e_0.tar.bz2  4 years and 6 months ago 325 main
conda 1.3 MB | osx-64/r-mice-3.13.0-r40h4efb63e_0.tar.bz2  4 years and 6 months ago 280 main
conda 1.3 MB | linux-64/r-mice-3.13.0-r40h03ef668_0.tar.bz2  4 years and 6 months ago 3251 main
conda 1.3 MB | linux-64/r-mice-3.13.0-r36h03ef668_0.tar.bz2  4 years and 6 months ago 3860 main

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