predict.itepac: Prediction method for itepac objects

In zhimeir/cfsensitivity: Sensitivity analysis of individual treatment effect under unmeasured confounding

Description

Obtains gamma-values on a test dataset based on an itepac object from link{cfsens_pac}.

Usage

## S3 method for class 'itepac'
predict(
  obj,
  X_test,
  Y1_test = NULL,
  Y0_test = NULL,
  type = c("ate", "att", "atc"),
  bnd_type = c("wsr"),
  num_grids = 1000,
  rand_ind = NULL,
  wsr_seed = 24601,
  max_gamma = 5,
  gamma_length = 51
)

Arguments

obj	an object of class itepac.
X_test	testing covariates.
Y1_test	the potential outcome when treated. The default is NULL. See details.
Y0_test	the potential outcome when not treated. The default is NULL. See details.
type	the type of inference target. Takes value in {"ate", "att", "atc"}. See details.
bnd_type	the method for constructing lower bound for the CDFs. The default is "wsr".
gamma_length	the number of Gamma to be considered for sensitivity analysis. The default is 51.
Gamma_max	the maximum value of Gamma to be considered for sensitivity analysis. The default is 5.

Details

When type = "ate", the inference is valid unconditionally; when type = "att", the inference is valid conditional on T=1, and Y1_test should be provided; when type = "atc", the inference is valid conditional on T=0, and Y0_test should be provided.

Value

a vector of gamma-values.

zhimeir/cfsensitivity documentation built on Feb. 10, 2022, 12:38 a.m.