iteration_control: Control parameters for AR_iter_Imputation
In julianhatwell/arulesimp: Association Rules Based Method for Imputation
Description
Control the parameters for the AR iterative imputation routine
Usage
1
iteration_control(method, splits, max_iter, target_convergence, class_balance)
Arguments
method
A character string. Allowed values are "none", "propensity"
splits
A scalar numeric denoting the number of propensity groups. If not an integer will be rounded. Ignored if method = "none"
max_iter
A scalar numeric. If not an integer will be rounded.
target_convergence
A scalar numeric. If not an integer will be rounded.
class_balance
No class balancing will be applied if not set. A list of paramaters to be passed to ROSE::ovun.sample.
julianhatwell/arulesimp documentation built on May 11, 2019, 4:17 p.m.
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Description
Control the parameters for the AR iterative imputation routine
Usage
1 | iteration_control(method, splits, max_iter, target_convergence, class_balance)
|
Arguments
method |
A character string. Allowed values are "none", "propensity" |
splits |
A scalar numeric denoting the number of propensity groups. If not an integer will be rounded. Ignored if method = "none" |
max_iter |
A scalar numeric. If not an integer will be rounded. |
target_convergence |
A scalar numeric. If not an integer will be rounded. |
class_balance |
No class balancing will be applied if not set. A list of paramaters to be passed to ROSE::ovun.sample. |
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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