gen_data_mapl | R Documentation |
The DGP from section 6.4.1 in Zhou, Athey, and Wager (2023):
There are d=3
actions (a_0,a_1,a_2)
which depend
on 3 regions the covariates X \sim U[0,1]^p
reside in. Observed outcomes:
Y \sim N(\mu_{a_i}(X_i), 4)
gen_data_mapl(n, p = 10, sigma2 = 4)
n |
Number of observations |
p |
Number of features (minimum 7). Default is 10. |
sigma2 |
Noise variance. Default is 4. |
A list with realized action a_i
, region r_i
,
conditional mean \mu
, outcome Y
and covariates X
Zhou, Zhengyuan, Susan Athey, and Stefan Wager. "Offline multi-action policy learning: Generalization and optimization." Operations Research 71.1 (2023).
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