Package: mice
Type: Package
Version: 2.16
Title: Multivariate Imputation by Chained Equations
Date: 2013-04-27
Authors@R: c(person("Stef", "van Buuren", role = c("aut","cre"), email
        = "stef.vanbuuren@tno.nl"), person("Karin",
        "Groothuis-Oudshoorn", role = "aut", email =
        "c.g.m.oudshoorn@utwente.nl"), person("Alexander", "Robitzsch",
        role = "ctb", email = "a.robitzsch@bifie.at"),
        person("Gerko","Vink", role = "ctb", email = "g.vink@uu.nl"),
        person("Lisa","Doove", role = "ctb", email =
        "lisa.doove@ppw.kuleuven.be"), person("Shahab","Jolani", role =
        "ctb", email = "s.jolani@uu.nl"))
Author: Stef van Buuren and Karin Groothuis-Oudshoorn, with
        contributions from Alexander Robitzsch, Gerko Vink, Shahab
        Jolani and Lisa Doove
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>
Depends: R (>= 2.10.0), methods, lattice, MASS, nnet
Imports: rpart
Suggests: AGD, gamlss, lme4, mitools, nlme, pan, survival, Zelig
Description: 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.
License: GPL-2 | GPL-3
LazyLoad: yes
LazyData: yes
URL: http://www.stefvanbuuren.nl , http://www.multiple-imputation.com
Collate: 'as.r' 'auxiliary.r' 'boys.r' 'cbind.r' 'cc.r' 'complete.r'
        'df.residual.r' 'expandcov.r' 'fdd.r' 'fdgs.r' 'flux.r'
        'getfit.r' 'ibind.r' 'internal.r' 'is.r' 'leiden85.r' 'lm.r'
        'long2mids.r' 'mammalsleep.r' 'md.pairs.r' 'md.pattern.r'
        'mdc.r' 'mice.df.r' 'mice.impute.2l.norm.r'
        'mice.impute.2l.pan.r' 'mice.impute.2lonly.mean.r'
        'mice.impute.2lonly.norm.r' 'mice.impute.2lony.pmm.r'
        'mice.impute.lda.r' 'mice.impute.logreg.r' 'mice.impute.mean.r'
        'mice.impute.norm.boot.r' 'mice.impute.norm.nob.r'
        'mice.impute.norm.predict.r' 'mice.impute.norm.r'
        'mice.impute.passive.r' 'mice.impute.pmm.r'
        'mice.impute.polr.r' 'mice.impute.polyreg.r'
        'mice.impute.quadratic.r' 'mice.impute.sample.r' 'mice.mids.r'
        'mice.r' 'mids.r' 'mids2mplus.r' 'mids2spss.r' 'mipo.r'
        'mira.r' 'nelsonaalen.r' 'nhanes.r' 'nhanes2.r' 'pattern1.r'
        'plot.r' 'pool.compare.r' 'pool.r' 'pool.r.squared.r'
        'pool.scalar.r' 'popmis.r' 'pops.r' 'potthoffroy.r' 'print.r'
        'quickpred.r' 'rbind.r' 'rm.whitespace.r' 'selfreport.r'
        'squeeze.r' 'summary.r' 'supports.transparent.r' 'tbc.r'
        'walking.r' 'windspeed.r' 'with.r' 'zzz.r' 'mice.theme.r'
        'xyplot.r' 'stripplot.r' 'bwplot.r' 'densityplot.r' 'cci.r'
        'ccn.r' 'mice.impute.cart.r' 'mice.impute.ri.r'
Packaged: 2013-04-26 13:10:42 UTC; stefvanbuuren
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-04-27 08:51:05
