Package: wnpp Severity: wishlist Subject: ITP: r-cran-mice -- GNU R multivariate imputation by chained equations Package: wnpp Owner: Andreas Tille <[email protected]> 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
