mipo {mice} | R Documentation |
The mipo
object is generated by the pool
function from a link{mira}
object.
The mipo
class of objects has methods for the following generic functions:
print
, summary
.
is.mipo(x) ## S4 method for signature 'mipo' print(x,...) ## S4 method for signature 'mipo' summary(object,...)
x, object |
An object of class |
... |
not used. |
call |
The call that created the |
call1 |
The call that created the |
call2 |
The call that created the |
nmis |
An array containing the number of missing observations per column. |
m |
Number of multiple imputations. |
qhat |
An |
u |
An |
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. |
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. |
Stef van Buuren, Karin Groothuis-Oudshoorn, 2000
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/