R: Multiply Imputed Repeated Analyses

mira {mice}

R Documentation

Multiply Imputed Repeated Analyses

Description

The mira object is generated by the with.mids(), lm.mids() and glm.mids() functions. The as.mira() function takes the results of repeated complete-data analysis stored as a list, and turns it into a mira object that can be pooled. Pooling requires that coef() and vcov() methods are available for fitted object. The mira class of objects has methods for the following generic functions: print, summary.

Usage

is.mira(x)
as.mira(fitlist)
## S4 method for signature 'mira'
print(x)
## S4 method for signature 'mira'
summary(object)

Arguments

`x, object`	An object containing the `m` fit objects of a complete data analysis, plus some additional information.
`fitlist`	An list of fitted objects, where each list element is a fit object. This can, for example, be produced by the `by()` function.

Value

`call`	The call that created the object.
`call1`	The call that created the `mids` object that was used in `call`.
`nmis`	An array containing the number of missing observations per column.
`analyses`	A list of `m` components containing the individual fit objects from each of the `m` complete data analyses.

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/