pmm.match: Finds an imputed value from matches in the predictive metric...
In mice: Multivariate Imputation by Chained Equations

.pmm.match

R Documentation

Finds an imputed value from matches in the predictive metric (deprecated)

Description

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 match.

Usage

.pmm.match(z, yhat = yhat, y = y, donors = 5, ...)

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`. Setting `donors = 1` always 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().