mids
object, and produces a new object of class mids
.
mice.mids(obj, maxit = 1, diagnostics = TRUE, printFlag = TRUE, ...)
mids
, typically produces by a previous
call to mice()
or mice.mids()
TRUE
, diagnostic information
will be appended to the value of the function. If FALSE
, only the
imputed data are saved. The default is TRUE
.TRUE
, diagnostic information
during the Gibbs sampling iterations will be written to the command window.
The default is TRUE
.mice()
function and cannot be changed with
mice.mids
. The state of the random generator is saved with the
mids
object.
mice
:
Multivariate Imputation by Chained Equations in R
. Journal of
Statistical Software, 45(3), 1-67.
http://www.jstatsoft.org/v45/i03/
complete
, mice
, set.seed
, mids
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
#
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