mi.fixed {mi} | R Documentation |
Imputes univariate constant missing data.
mi.fixed( formula, data = NULL, ... ) ## S3 method for class 'mi.copy': plot( x, y, main=deparse( substitute( y ) ), gray.scale = FALSE, ...)
formula |
an object of class '"formula"' (or one that can be coerced to that class): a symbolic description of the model to be fitted. See bayesglm 'formula' for details. |
data |
A data frame containing the incomplete data and the matrix of the complete predictors. |
... |
Currently not used. |
x |
An object of class '"mi.copy"'. |
y |
Observed values. |
main |
main title of the plot. |
gray.scale |
When set to TRUE, makes the plot into gray scale with predefined color and line type. |
model |
A summary of the fitted model. |
expected |
The expected values estimated by the model. |
random |
Vector of length n.mis of random predicted values predicted by using the normal distribution. |
Masanao Yajima yajima@stat.columbia.edu, M.Grazia Pittau grazia@stat.columbia.edu, Andrew Gelman gelman@stat.columbia.edu
Andrew Gelman and Jennifer Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2006.