mice.mids {mice} | R Documentation |
Takes a "mids"-object, and produces an new object of class "mids".
mice.mids(obj, maxit=1, diagnostics=TRUE, printFlag=TRUE)
obj |
An object of class "mids", typically produces by a previous call
to mice() or mice.mids() |
maxit |
The number of additional Gibbs sampling iterations. |
diagnostics |
A Boolean flag. If TRUE, diagnostic information will be appended to the value of the function. If FALSE, only the imputed data are saved. The default is TRUE. |
printFlag |
A Boolean flag. If TRUE, diagnostic information during the Gibbs sampling iterations will be written to the command window. The default is TRUE. |
This function enables the user to split up the computations of the Gibbs sampler into smaller parts. This is useful for the following reasons: begin{itemize}
Stef van Buuren, Karin Oudshoorn, 2000
Van Buuren, S. & Oudshoorn, C.G.M. (2000). Multivariate Imputation by Chained Equations: MICE V1.0 User's manual. Report PG/VGZ/00.038, TNO Prevention and Health, Leiden.
data(nhanes) imp1 <- mice(nhanes,maxit=1) imp2 <- mice.mids(imp1) # yields the same result as imp <- mice(nhanes,maxit=2) # for example: # # > imp$imp$bmi[1,] # 1 2 3 4 5 # 1 30.1 35.3 33.2 35.3 27.5 # > imp2$imp$bmi[1,] # 1 2 3 4 5 # 1 30.1 35.3 33.2 35.3 27.5 #