mi.info.update {mi}R Documentation

function to update mi.info object to use for multiple imputation

Description

This function is internal function to update the mi.info object.

Usage

mi.info.update(info, target, list)
mi.info.update.type(info, list)
mi.info.update.level(info, list)
mi.info.update.include(info, list)
mi.info.update.is.ID(info, list)
mi.info.update.correlated(info, list)
mi.info.update.transform(info, list)
mi.info.update.imp.order(info, list)
mi.info.update.determ.pred(info, list)
mi.info.update.params(info, list)
mi.info.update.imp.formula(info, list)
mi.info.update.other(info, list)

Arguments

info mi.info object that is result of mi.info function.
target which part of mi.info object to modify.
list list that has same length as the number of variables in the mi.info object. Element which are left NULL will not be updated .

Details

~~ If necessary, more details than the description above ~~

Value

info updated mi.info object.

Author(s)

Masanao Yajima yajima@stat.columbia.edu, M.Grazia Pittau grazia@stat.columbia.edu, Andrew Gelman gelman@stat.columbia.edu

References

Andrew Gelman and M. Grazia Pittau, A flexible program for missing-data imputation and model checking, Technical report, Columbia University, New York; Andrew Gelman and Jennifer Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.

See Also

mi.matrix

Examples

data(CHAIN)
CHAIN.info<-mi.info(CHAIN)
CHAIN.info<-mi.info.update.type(CHAIN.info, list(age.W1="continuous", b05.W1="unordered-categorical"))

[Package mi version 0.02-02 Index]