add_propensity_diagnostic: Add an additional diagnostic to the propensity score
In tidyhte: Tidy Estimation of Heterogeneous Treatment Effects
add_propensity_diagnostic R Documentation
Add an additional diagnostic to the propensity score
Description
This adds a diagnostic to the propensity score.
Usage
add_propensity_diagnostic(hte_cfg, diag)
Arguments
hte_cfg
HTE_cfg object to update.
diag
Character indicating the name of the diagnostic
to include. Possible values are "MSE", "AUC" and, for
SuperLearner ensembles, "SL_risk" and "SL_coefs".
Value
Updated HTE_cfg object
Examples
library("dplyr")
basic_config() %>%
add_propensity_diagnostic(c("AUC", "MSE")) -> hte_cfg
tidyhte documentation built on Aug. 14, 2023, 5:08 p.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.
| add_propensity_diagnostic | R Documentation |
Add an additional diagnostic to the propensity score
Description
This adds a diagnostic to the propensity score.
Usage
add_propensity_diagnostic(hte_cfg, diag)
Arguments
hte_cfg |
|
diag |
Character indicating the name of the diagnostic
to include. Possible values are |
Value
Updated HTE_cfg object
Examples
library("dplyr")
basic_config() %>%
add_propensity_diagnostic(c("AUC", "MSE")) -> hte_cfg
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.