best_predictor: Best predictor function from causal_forest
In rdddr: Companion Datasets and Functions for Blair, Coppock, and Humphreys (2022) "Research Design: Declare, Diagnose, Redesign"
View source: R/helpers-causal-forests.R
best_predictor R Documentation
Best predictor function from causal_forest
Description
Best predictor function from causal_forest
Usage
best_predictor(data, covariate_names, cuts = 20)
Arguments
data
A data.frame of covariates
covariate_names
A character vector of covariates to assess
cuts
Either a numeric vector of two or more unique cut points or a single number (greater than or equal to 2) giving the number of intervals into which each covariate is to be cut.
Value
a data.frame of the best predictors
rdddr documentation built on July 3, 2022, 5:06 p.m.
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View source: R/helpers-causal-forests.R
| best_predictor | R Documentation |
Best predictor function from causal_forest
Description
Best predictor function from causal_forest
Usage
best_predictor(data, covariate_names, cuts = 20)
Arguments
data |
A data.frame of covariates |
covariate_names |
A character vector of covariates to assess |
cuts |
Either a numeric vector of two or more unique cut points or a single number (greater than or equal to 2) giving the number of intervals into which each covariate is to be cut. |
Value
a data.frame of the best predictors
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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