Bug#932285: ITP: r-cran-mice -- GNU R multivariate imputation by chained equations
Package: wnpp
Severity: wishlist
Subject: ITP: r-cran-mice -- GNU R multivariate imputation by chained equations
Package: wnpp
Owner: Andreas Tille <tille@debian.org>
Severity: wishlist
* Package name : r-cran-mice
Version : 3.6.0
Upstream Author : Stef van Buuren,
* URL : https://cran.r-project.org/package=mice
* License : GPL-2
Programming Lang: GNU R
Description : GNU R multivariate imputation by chained equations
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.
Remark: This package is maintained by Debian R Packages Maintainers at
https://salsa.debian.org/r-pkg-team/r-cran-mice
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