staticGP.cate: Get conditional average treatment effect

In pcats-api/pcatsAPIclientR: 'PCATS' API Client

Get conditional average treatment effect

Description

Estimate the conditional average treatment effect of user-specified treatment groups.

Usage

staticGP.cate(
  jobid,
  x,
  control.tr,
  treat.tr,
  c.margin = NULL,
  token = NULL,
  use.cache = NULL
)

Arguments

jobid	job id of the "staticGP".
x	The name of a categorical variable which may have the heterogeneous treatment effect.
control.tr	The value of the treatment variable as the reference group.
treat.tr	The value of the treatment variable compared to the reference group.
c.margin	An optional vector of user-defined values of c for PrCTE.
token	Authentication token.
use.cache	Use cached results (default True).

Details

The contrast of potential outcomes for the reference group and the treatment group is estimated at each value of x.

Value

Return jobid

Note

The conditional average treatment effect is estimated based on the sample data. The observations with missing covariates in the model are excluded. For the unspecified variables in the model, the original data is used to estimate the conditional average treatment effect.

pcats-api/pcatsAPIclientR documentation built on June 13, 2025, 5:14 a.m.