covariate_importance: Counts of variable overall inclusion
In tidytreatment: Tidy Methods for Bayesian Treatment Effect Models
View source: R/covariate-importance.R
covariate_importance R Documentation
Counts of variable overall inclusion
Description
Inclusion metric for bartMachine and BART are scaled differently.
bartMachine averaged over number of trees, in addition to number of MCMC draws.
Usage
covariate_importance(model, ...)
Arguments
model
Model
...
Arguments to pass to particular methods.
Value
Tidy data with counts of variable inclusion, when interacting with treatment variable.
tidytreatment documentation built on March 18, 2022, 6:30 p.m.
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View source: R/covariate-importance.R
| covariate_importance | R Documentation |
Counts of variable overall inclusion
Description
Inclusion metric for bartMachine and BART are scaled differently. bartMachine averaged over number of trees, in addition to number of MCMC draws.
Usage
covariate_importance(model, ...)
Arguments
model |
Model |
... |
Arguments to pass to particular methods. |
Value
Tidy data with counts of variable inclusion, when interacting with treatment variable.
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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