easy_toy_data_simulation: Toy data simulation
In xnie/rlearner: R-learner for Heterogeneous Treatment Effect Estimation
Description
Usage
Arguments
Value
Examples
Description
Generates a toy dataset of size n that can be used to experiment with the learners and meta-learners
in this package. The generative process should be easy to learn with linear methods.
Usage
1
Arguments
n
the number of samples to draw from the distribution
Value
a list containing the covariate matrix, treatment vector, outcome vector, true propensity vector, true marginal outcome vector,
true control potential outcome vector, true treated potential outcome vector, and true treatment effect vector, in that order.
Examples
1
data = easy_toy_data_simulation(500) # draw a sample
xnie/rlearner documentation built on April 11, 2021, 12:49 a.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 Examples
Description
Generates a toy dataset of size n that can be used to experiment with the learners and meta-learners in this package. The generative process should be easy to learn with linear methods.
Usage
1 |
Arguments
n |
the number of samples to draw from the distribution |
Value
a list containing the covariate matrix, treatment vector, outcome vector, true propensity vector, true marginal outcome vector, true control potential outcome vector, true treated potential outcome vector, and true treatment effect vector, in that order.
Examples
1 | data = easy_toy_data_simulation(500) # draw a 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.
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.