# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "mice" in publications use:' type: software license: GPL-2.0-or-later title: 'mice: Multivariate Imputation by Chained Equations' version: 3.16.15 doi: 10.18637/jss.v045.i03 identifiers: - type: doi value: 10.32614/CRAN.package.mice - type: url value: https://stefvanbuuren.name/fimd/ abstract: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) . 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. authors: - family-names: Buuren given-names: Stef name-particle: van email: stef.vanbuuren@tno.nl - family-names: Groothuis-Oudshoorn given-names: Karin email: c.g.m.oudshoorn@utwente.nl preferred-citation: type: article title: 'mice: Multivariate Imputation by Chained Equations in R' authors: - family-names: Buuren given-names: Stef name-particle: van email: stef.vanbuuren@tno.nl - family-names: Groothuis-Oudshoorn given-names: Karin email: c.g.m.oudshoorn@utwente.nl journal: Journal of Statistical Software year: '2011' volume: '45' issue: '3' doi: 10.18637/jss.v045.i03 start: 1-67 repository: https://amices.r-universe.dev repository-code: https://github.com/amices/mice commit: cbc6c4a4fd85cafb7af76dda8e92be8ccc5b3435 url: https://amices.org/mice/ date-released: '2024-10-03' contact: - family-names: Buuren given-names: Stef name-particle: van email: stef.vanbuuren@tno.nl