Root Mean Square Difference between observed and imputed
Computes the root mean square difference (RMSD) between observed and imputed values for each observation that has both. RMSD is computationally like RMSE, but they differ in interpretation. The RMSD values can be scaled to afford comparisons among variables.
an object created by
a list of variable names you want to include, if NULL all available variables are included
passed to called methods, very useful for passing arugment
By default, RMSD is computed using standard formula for its related statistic,
scale=TRUE, or set of values is supplied, RMSD is divided by the
scaling factor. The scaling factor is the standard deviation of the
reference observations under the assumption that they are representative
of the population.
A data frame with the row names as vars and the column as
scale=TRUE, the column name is
rmsdS. The scaling factors used, if any,
are returned as an attribute.
impute.yai and http://www.jstatsoft.org/v23/i10.