mipo {mice} | R Documentation |
The "mipo" object is generated by the lm.mids
and glm.mids
functions.
The "mipo" class of objects has methods for the following generic functions:
print, summary.
print.mipo(x,...) summary.mipo(object,...)
x, object |
An object containing the m fit objects of a complete data analysis, plus some additional information. |
... |
not used. |
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'. |
nmis |
An array containing the number of missing observations per column. |
m |
Number of multiple imputations. |
qhat |
An m x npar matrix containing the complete data estimates for the npar paremeters of the m complete data analyses. |
u |
An m x npar x npar array containing the variance-covariance matrices of the m complete data analyses. |
qbar |
The average of complete data estimates. |
ubar |
The average of the variance-covariance matrix of the complete data estimes. |
b |
The between imputation variance-covariance matrix. |
t |
The total variance-covariance matrix. |
r |
Relative increases in variance due to missing data |
df |
Degrees of freedom associated with the t-statistics. |
f |
Fractions of missing information. |
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.