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
.
## S3 method for class 'mipo': print(x,...) ## S3 method for class 'mipo': summary(object,...)
x, object |
An object of class mira 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 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 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 Groothuis-Oudshoorn, 2000
Van Buuren, S., Groothuis-Oudshoorn, C.G.M. (2000) Multivariate Imputation by Chained Equations: MICE V1.0 User's manual. Leiden: TNO Quality of Life. http://www.stefvanbuuren.nl/publications/MICE V1.0 Manual TNO00038 2000.pdf