mipo)The mipo object is generated by the pool function from a
link[=mira-class]{mira} object. The mipo class of objects has methods for
the following generic functions: print, summary.
.Data:Object of class "list" containing the
following slots:
call:The call that created the mipo object.
call1:The call that created the mira object that was used
in call.
call2:The call that created the mids object that was used
in call1.
data:A copy of the incomplete data set.
nmis:An array containing the number of missing observations per column.
m:Number of multiple imputations.
qhat:An m by npar matrix containing the complete
data estimates for the npar parameters of the m complete data
analyses.
u:An m by npar by npar array containing the
variance-covariance matrices of the estimates of the m complete data analyses.
qbar:The average of complete data estimates. The multiple imputation estimate.
ubar:The average of the variance-covariance matrix of the complete data estimates.
b:The between imputation variance-covariance matrix for the estimates.
t:The total variance-covariance matrix for the estimates.
r:Relative increases in variance due to missing data.
dfcom:Degrees of freedom in the hypothetically complete data: the sample size minus the number of free parameters.
df:Degrees of freedom associated with the t-statistics.
fmi:Fraction of missing information.
lambda:Proportion of the variation attributable to the missing
data: (b+b/m)/t.
van Buuren S and Groothuis-Oudshoorn K (2011). mice:
Multivariate Imputation by Chained Equations in R. Journal of
Statistical Software, 45(3), 1-67.
http://www.jstatsoft.org/v45/i03/