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mi (version 0.10-2)

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

Description

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

Usage

## S3 method for class 'mi.info':
update(object, target, list, \dots)
mi.info.update.type(object, list)
mi.info.update.level(object, list)
mi.info.update.include(object, list)
mi.info.update.is.ID(object, list)
mi.info.update.collinear(object, list)mi.info.update.imp.order(object, list)
mi.info.update.determ.pred(object, list)
mi.info.update.params(object, list)
mi.info.update.imp.formula(object, list)
mi.info.update.other(object, list)

Arguments

object
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 .
...
currently no function.

Value

  • infoupdated mi.info object.

References

Yu-Sung Su, Andrew Gelman, Jennifer Hill, Masanao Yajima. (2011). Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box. Journal of Statistical Software 45(2). Andrew Gelman and Jennifer Hill. (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.

See Also

mi.completed

Examples

Run this code
data(CHAIN)
CHAIN.info <- mi.info(CHAIN)

# You can update the mi.info object in the below two ways
CHAIN.info <- update(CHAIN.info, "type", 
  list(age.W1="continuous", b05.W1="unordered-categorical"))
CHAIN.info <- mi.info.update.type(CHAIN.info, 
  list(age.W1="continuous", b05.W1="unordered-categorical"))

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