Finds an imputed value from matches in the predictive metric (deprecated)
Source:R/mice.impute.pmm.R
pmm.match.RdThis 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
match.
Arguments
- z
A scalar containing the predicted value for the current case to be imputed.
- yhat
A vector containing the predicted values for all cases with an observed outcome.
- y
A vector of
length(yhat)elements containing the observed outcome- donors
The size of the donor pool among which a draw is made. The default is
donors = 5. Settingdonors = 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).
Details
This function is included for backward compatibility. It was
used up to mice 2.21. The current mice.impute.pmm()
function calls the faster C function matcher instead of
.pmm.match().