SimUplift: Synthetic data for uplift modeling
In tools4uplift: Tools for Uplift Modeling
Description
Usage
Format
Examples
Description
The synthetic data contains 20 predictors, a treatment allocation variable and an outcome binary variable. This dataset is used in the package examples.
Usage
1
data("SimUplift")
Format
A data frame with 1000 observations on the following 22 variables.
ya binary response vector
treata binary treatment allocation vector
X1a numeric vector
X2a numeric vector
X3a numeric vector
X4a numeric vector
X5a numeric vector
X6a numeric vector
X7a numeric vector
X8a numeric vector
X9a numeric vector
X10a numeric vector
X11a numeric vector
X12a numeric vector
X13a numeric vector
X14a numeric vector
X15a numeric vector
X16a numeric vector
X17a numeric vector
X18a numeric vector
X19a numeric vector
X20a numeric vector
Examples
1
data("SimUplift")
tools4uplift documentation built on Jan. 11, 2022, 3 a.m.
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Description Usage Format Examples
Description
The synthetic data contains 20 predictors, a treatment allocation variable and an outcome binary variable. This dataset is used in the package examples.
Usage
1 | data("SimUplift")
|
Format
A data frame with 1000 observations on the following 22 variables.
ya binary response vector
treata binary treatment allocation vector
X1a numeric vector
X2a numeric vector
X3a numeric vector
X4a numeric vector
X5a numeric vector
X6a numeric vector
X7a numeric vector
X8a numeric vector
X9a numeric vector
X10a numeric vector
X11a numeric vector
X12a numeric vector
X13a numeric vector
X14a numeric vector
X15a numeric vector
X16a numeric vector
X17a numeric vector
X18a numeric vector
X19a numeric vector
X20a numeric vector
Examples
1 | data("SimUplift")
|
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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