ValidateModel: ValidateModel
In wlktan/surrogateSampling: Functions to conduct surrogate guided sampling designs
Description
Usage
Arguments
Value
View source: R/ValidateModel.R
Description
Makes a sample enriched for cases using ideas from
surrogate guided sampling strategy
Usage
1
ValidateModel(est.coef, val.df, feat = "X", surr = "Z", Y = "Y")
Arguments
val.df
Data frame containing training data
Y
Column name of the binary outcome
train.model
The trained model object
Value
A list of
eta: vector of linear predictions
auc_val: Estimated validation AUC
wlktan/surrogateSampling documentation built on May 23, 2019, 3:07 p.m.
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.
Description Usage Arguments Value
View source: R/ValidateModel.R
Description
Makes a sample enriched for cases using ideas from surrogate guided sampling strategy
Usage
1 | ValidateModel(est.coef, val.df, feat = "X", surr = "Z", Y = "Y")
|
Arguments
val.df |
Data frame containing training data |
Y |
Column name of the binary outcome |
train.model |
The trained model object |
Value
A list of eta: vector of linear predictions auc_val: Estimated validation AUC
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.