MCATE_cfg {tidyhte} | R Documentation |
Configuration of Marginal CATEs
Description
MCATE_cfg
is a configuration class for estimating marginal response
surfaces based on heterogeneous treatment effect estimates. "Marginal"
in this context implies that all other covariates are marginalized.
Thus, if two covariates are highly correlated, it is likely that their
MCATE surfaces will be extremely similar.
Public fields
cfgs
Named list of covariates names to a
Model_cfg
object defining how to present that covariate's CATE surface (while marginalizing over all other covariates).std_errors
Boolean indicating whether the results should be returned with standard errors or not.
estimand
String indicating the estimand to target.
Methods
Public methods
Method new()
Create a new MCATE_cfg
object with specified model name and hyperparameters.
Usage
MCATE_cfg$new(cfgs, std_errors = TRUE)
Arguments
cfgs
Named list from moderator name to a
Model_cfg
object defining how to present that covariate's CATE surface (while marginalizing over all other covariates)std_errors
Boolean indicating whether the results should be returned with standard errors or not.
Returns
A new MCATE_cfg
object.
Examples
MCATE_cfg$new(cfgs = list(x1 = KernelSmooth_cfg$new(neval = 100)))
Method add_moderator()
Add a moderator to the MCATE_cfg
object. This entails defining a configuration
for displaying the effect surface for that moderator.
Usage
MCATE_cfg$add_moderator(var_name, cfg)
Arguments
var_name
The name of the moderator to add (and the name of the column in the dataset).
cfg
A
Model_cfg
defining how to display the selected moderator's effect surface.
Returns
An updated MCATE_cfg
object.
Examples
cfg <- MCATE_cfg$new(cfgs = list(x1 = KernelSmooth_cfg$new(neval = 100))) cfg <- cfg$add_moderator("x2", KernelSmooth_cfg$new(neval = 100))
Method clone()
The objects of this class are cloneable with this method.
Usage
MCATE_cfg$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
Examples
MCATE_cfg$new(cfgs = list(x1 = KernelSmooth_cfg$new(neval = 100)))
## ------------------------------------------------
## Method `MCATE_cfg$new`
## ------------------------------------------------
MCATE_cfg$new(cfgs = list(x1 = KernelSmooth_cfg$new(neval = 100)))
## ------------------------------------------------
## Method `MCATE_cfg$add_moderator`
## ------------------------------------------------
cfg <- MCATE_cfg$new(cfgs = list(x1 = KernelSmooth_cfg$new(neval = 100)))
cfg <- cfg$add_moderator("x2", KernelSmooth_cfg$new(neval = 100))