mipo {mice}R Documentation

Multiply Imputed Pooled Analysis

Description

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.

Usage

is.mipo(x)
## S4 method for signature 'mipo'
print(x,...)
## S4 method for signature 'mipo'
summary(object,...)

Arguments

x, object

An object of class mira containing the m fit objects of a complete data analysis, plus some additional information.

...

not used.

Value

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.

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.

Author(s)

Stef van Buuren, Karin Groothuis-Oudshoorn, 2000

References

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/

See Also

pool, mids, mira


[Package mice version 2.11 Index]