pmm.multiclass: PMM for multiclass variable
In mixgb: Multiple Imputation Through 'XGBoost'
pmm.multiclass R Documentation
PMM for multiclass variable
Description
PMM for multiclass variable
Usage
pmm.multiclass(yhatobs, yhatmis, yobs, k)
Arguments
yhatobs
The predicted values of observed entries in a variable
yhatmis
The predicted values of missing entries in a variable
yobs
The actual observed values of observed entries in a variable
k
The number of donors.
Value
The matched observed values of all missing entries
mixgb documentation built on Jan. 17, 2026, 5:07 p.m.
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| pmm.multiclass | R Documentation |
PMM for multiclass variable
Description
PMM for multiclass variable
Usage
pmm.multiclass(yhatobs, yhatmis, yobs, k)
Arguments
yhatobs |
The predicted values of observed entries in a variable |
yhatmis |
The predicted values of missing entries in a variable |
yobs |
The actual observed values of observed entries in a variable |
k |
The number of donors. |
Value
The matched observed values of all missing entries
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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