mi.method: Virtual class for all mi classes.

In mi: Missing Data Imputation and Model Checking

Description

Imputes univariate missing data using linear regression.

Usage

  ## 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, ...)

Arguments

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.

Details

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.nonnegative these methods are extended to tailor to the needs.

Author(s)

Masanao Yajima [e-mail], M.Grazia Pittau [e-mail], Andrew Gelman [e-mail]

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).

See Also

mi

mi documentation built on May 2, 2019, 4:43 p.m.