Finds an imputed value from matches in the predictive metric (deprecated)Source:
This function finds matches among the observed data in the predictive
mean metric. It selects the
donors closest matches, randomly
samples one of the donors, and returns the observed value of the
A scalar containing the predicted value for the current case to be imputed.
A vector containing the predicted values for all cases with an observed outcome.
A vector of
length(yhat)elements containing the observed outcome
The size of the donor pool among which a draw is made. The default is
donors = 5. Setting
donors = 1always selects the closest match. Values between 3 and 10 provide the best results. Note: This setting was changed from 3 to 5 in version 2.19, based on simulation work by Tim Morris (UCL).
Other parameters (not used).
This function is included for backward compatibility. It was
used up to
mice 2.21. The current
function calls the faster
matcher instead of
Schenker N & Taylor JMG (1996) Partially parametric techniques for multiple imputation. Computational Statistics and Data Analysis, 22, 425-446.
Little RJA (1988) Missing-data adjustments in large surveys (with discussion). Journal of Business Economics and Statistics, 6, 287-301.