mi.info {mi} | R Documentation |
Produces matrix of information needed to impute the missing data. After the information is extracted user has the option of changing the default.
mi.info(data, threshhold = 0.99999) ## S4 method for signature 'mi.info': print(x, ...) ## S4 method for signature 'mi.info': show(object)
data |
dataframe or matrix of dataset with missing data coded as NAs. |
threshhold |
Threshhold value for correlation to be considered a problem. |
x |
An object of a class '"mi.info"'. |
object |
An object of a class '"mi.info"'. |
... |
Currently not used. |
~~ If necessary, more details than the description above ~~
info |
information matrix
|
Masanao Yajima yajima@stat.columbia.edu, M.Grazia Pittau grazia@stat.columbia.edu, Andrew Gelman gelman@stat.columbia.edu
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.
data(CHAIN) info.CHAIN <- mi.info(CHAIN) info.CHAIN$imp.order # imputation order info.CHAIN$imp.formula # imputation formula info.CHAIN[["age.W1"]]$imp.formula #imputation formula for specific variable