cate.prepare: Internal function.
In bonander/CEAforests: Tree-based heterogenous cost-effectiveness and policy learning with individual-level data (beta)
Description
Usage
Arguments
Value
Examples
View source: R/explain_forest.R
Description
cate.prepare Provides de-biased tau estimates based on AIPW (for use in custom explainers, e.g., regression models or GAMs).
Usage
1
cate.prepare(forest, subset = NULL, compliance.score = NULL)
Arguments
forest
A trained causal forest or instrumental forest object.
Value
Returns a vector of transformed outcomes that can be used in parametric or semi-parametric regressions to explain the results from the forest.
Examples
1
2
3
4
## Not run:
To be added...
## End(Not run)
bonander/CEAforests documentation built on April 1, 2021, 10:57 a.m.
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Description Usage Arguments Value Examples
View source: R/explain_forest.R
Description
cate.prepare Provides de-biased tau estimates based on AIPW (for use in custom explainers, e.g., regression models or GAMs).
Usage
1 | cate.prepare(forest, subset = NULL, compliance.score = NULL)
|
Arguments
forest |
A trained causal forest or instrumental forest object. |
Value
Returns a vector of transformed outcomes that can be used in parametric or semi-parametric regressions to explain the results from the forest.
Examples
1 2 3 4 | ## Not run:
To be added...
## End(Not run)
|
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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