TrainModel: TrainModel
In wlktan/surrogateSampling: Functions to conduct surrogate guided sampling designs
Description
Usage
Arguments
Value
Description
Makes a sample enriched for cases using ideas from
surrogate guided sampling strategy
Usage
1
TrainModel(train.df, Y = "Y", feat = "X", surr = "Z", model = "glm")
Arguments
train.df
Data frame containing training data
Y
Column name of the binary outcome
model
Whether to use a glm, lasso, or ridge model
Value
A list of
coef: estimated betas
n_cases: Number of cases in the training sample
auc_train: Estimated training AUC
train.model: The trained model object
wlktan/surrogateSampling documentation built on May 23, 2019, 3:07 p.m.
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Description Usage Arguments Value
Description
Makes a sample enriched for cases using ideas from surrogate guided sampling strategy
Usage
1 | TrainModel(train.df, Y = "Y", feat = "X", surr = "Z", model = "glm")
|
Arguments
train.df |
Data frame containing training data |
Y |
Column name of the binary outcome |
model |
Whether to use a glm, lasso, or ridge model |
Value
A list of coef: estimated betas n_cases: Number of cases in the training sample auc_train: Estimated training AUC train.model: The trained model object
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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