Dear R-users,
Version V2.0 of the package mice is now available on CRAN for Windows, Linux and
Apple users.
Multivariate Imputation by Chained Equations (MICE) is the name of software for
imputing incomplete multivariate data by Fully Conditional Specifcation (FCS).
MICE V1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R
package. MICE V1.0 introduced predictor selection, passive imputation and
automatic pooling.
MICE V2.0, which extends the functionality of MICE V1.0 in several ways. In MICE
V2.0, the analysis of imputed data is made completely general, whereas the range
of models under which pooling works is substantially extended. MICE V2.0 adds
new functionality for imputing multilevel data, automatic predictor selection,
data handling, post-processing imputed values, specialized pooling and model
selection. Imputation of categorical data is improved in order to bypass
problems caused by perfect prediction.Special attention to transformations, sum
scores, indices and interactions using passive imputation, and to the proper
setup of the predictor matrix.
We have written also a complete new manual for mice, which can be downloaded
from http://www.stefvanbuuren.nl/publications/MICE%20in%20R%20-%20Draft.pdf
<https://webmail.kpnplanet.nl/exchweb/bin/redir.asp?URL=http://www.stefvanbuuren.nl/publications/MICE%2520in%2520R%2520-%2520Draft.pdf>
This article/manual provides a hands-on, stepwise approach to using mice for
solving incomplete data problems in real data.
Best Regards,
Karin Groothuis-Oudshoorn & Stef van Buuren
C.G.M. (Karin) Groothuis-Oudshoorn, Phd
Assistent Professor University of Twente / Biostatistician Roessingh Research
and Development
c.g.m.oudshoorn at utwente.nl <mailto:c.g.m.oudshoorn at utwente.nl> /
k.groothuis at rrd.nl <mailto:k.groothuis at rrd.nl>
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