Description Usage Arguments Value Author(s) References See Also Examples
Produces matrix of information needed to impute the missing data. After the information is extracted user has the option of changing the default.
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data |
dataframe or matrix of dataset with missing data coded as NAs. |
threshold |
Threshold value for correlation to be considered a problem. |
x |
An object of a class |
object |
An object of a class |
... |
Currently not used. |
info |
information matrix
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Masanao Yajima yajima@stat.columbia.edu, M.Grazia Pittau grazia@stat.columbia.edu, Andrew Gelman gelman@stat.columbia.edu
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).
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