cram_estimator {cramR} | R Documentation |
Cram Policy Estimator for Policy Value Difference (Delta)
Description
This function returns the cram policy estimator for the policy value difference (delta).
Usage
cram_estimator(X, Y, D, pi, batch_indices, propensity = NULL)
Arguments
X |
A matrix or data frame of covariates for each sample. |
Y |
A vector of outcomes for the n individuals. |
D |
A vector of binary treatments for the n individuals. |
pi |
A matrix of n rows and (nb_batch + 1) columns, where n is the sample size and nb_batch is the number of batches, containing the policy assignment for each individual for each policy. The first column represents the baseline policy. |
batch_indices |
A list where each element is a vector of indices corresponding to the individuals in each batch. |
propensity |
The propensity score function |
Value
The estimated policy value difference (Delta).
[Package cramR version 0.1.0 Index]