ps_cart: Fitting CART for Propensity Score
In ygeunkim/propensityml: Propensity score weighting using machine learning methods
Description
Usage
Arguments
Value
References
Description
fits classification tree before estimating propensity scores
Usage
1
Arguments
formula
an object formula to be fitted. Response should be treatment.
data
optional data frame.
...
For additional options of rpart.
Value
propmod class, a list with model and its name
model - rpart
name - "cart"
data - dataset
References
Lee, B. K., Lessler, J., & Stuart, E. A. (2010). Improving propensity score weighting using machine learning. Statistics in Medicine. Statistics in Medicine, 29(3), 337-346. https://doi.org/10.1002/sim.3782
ygeunkim/propensityml documentation built on Jan. 1, 2021, 1:44 p.m.
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Description Usage Arguments Value References
Description
fits classification tree before estimating propensity scores
Usage
1 |
Arguments
formula |
an object formula to be fitted. Response should be treatment. |
data |
optional data frame. |
... |
For additional options of rpart. |
Value
propmod class, a list with model and its name
model - rpart
name - "cart"
data - dataset
References
Lee, B. K., Lessler, J., & Stuart, E. A. (2010). Improving propensity score weighting using machine learning. Statistics in Medicine. Statistics in Medicine, 29(3), 337-346. https://doi.org/10.1002/sim.3782
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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