mi.method {mi} | R Documentation |
Imputes univariate missing data using linear regression.
## S4 method for signature 'mi.method': imputed(object,y) ## S4 method for signature 'mi.categorical': imputed(object,y) ## S4 method for signature 'mi.polr': imputed(object,y) ## S4 method for signature 'mi.method': coef(object) ## S4 method for signature 'mi.method': coefficients(object) ## S4 method for signature 'mi.method': sigma.hat(object) ## S4 method for signature 'mi.method': fitted(object) ## S4 method for signature 'mi.method': resid(object, y) ## S4 method for signature 'mi.method': residuals(object, y) ## S4 method for signature 'mi.method': print(x, ...) ## S4 method for signature 'mi.method, ANY': plot(x, y, main=deparse( substitute( y ) ), gray.scale = FALSE, ...)
object |
mi.method object. |
... |
Currently not used. |
x |
mi.method object. |
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. |
mi.method is a virtual class for all the mi
classes.
Basically all the necessary functions are defined under mi.method
class, thus
most of the mi
classes that do not have specific method defined for them inherits their methods from this class.
For some special class as mi.mixed
these methods are extended to tailor to the needs.
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.