I'm trying to use either mice or norm to perform multiple imputation to fill in some missing values in my data. The data has some missing values because of a chemical detection limit (so they are left censored). I'd like to use MI because I have several variables that are highly correlated. In SAS's proc MI, there is an option with which you can limit the imputed values that are returned to some range of specified values. Is there a way to limit the values in mice? If not, is there another MI tool in R that will allow me to specify a range of acceptable values for my imputed data?
Thanks for the help, Todd -- View this message in context: http://www.nabble.com/Multiple-Imputation-in-mice-norm-tp23224965p23224965.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.