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...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...

...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...

...t me as to where to look to debug this behaviour? I have been going through the recent mice manual[1], but is there something in particular I should be looking at? I guess a bigger question is, should I also be experimenting with other packages such as Amelia and mi? Thanks, Harish [1] http://www.stefvanbuuren.nl/publications/MICE%20in%20R%20-%20Draft.pdf

...er) Min. 1st Qu. Median Mean 3rd Qu. Max. -30.650 1.848 8.808 20.480 32.980 136.200 etc. Now my question is, in such cases, would it be better to use pmm for this variable instead, or should I instead use the squeeze() function in MICE? I read a paper explaining MICE: http://www.stefvanbuuren.nl/publications/MICE%20in%20R%20-%20Draft.pdf, but I am still unsure how to proceed. I would be really grateful for some advise, thanks! -- View this message in context: http://r.789695.n4.nabble.com/Multiple-imputation-using-mice-tp4452986p4452986.html Sent from the R help mailing list archive at...

Hello, I tried intalling mice package and got the following error: * installing *source* package ?mice? ... ** package ?mice? successfully unpacked and MD5 sums checked ** libs g++ -I/usr/local/lib/R/include -DNDEBUG -I"/home/djj/R/x86_64-pc-linux-gnu-library/3.4/Rcpp/include" -I/usr/local/include -fpic -g -O2 -c RcppExports.cpp -o RcppExports.o g++ -I/usr/local/lib/R/include

...n 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...