gen_data_epl: Example data generating process from Policy Learning With...
In policytree: Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees
gen_data_epl R Documentation
Example data generating process from Policy Learning With Observational Data
Description
The DGP from section 5.2 in Athey and Wager (2021)
Usage
gen_data_epl(n, type = c("continuous", "jump"))
Arguments
n
Number of observations
type
tau is "continuous" (default - equation 46) or exhibits "jumps" (equation 47)
Value
A list
References
Athey, Susan, and Stefan Wager. "Policy Learning With Observational Data." Econometrica 89.1 (2021): 133-161.
policytree documentation built on June 22, 2024, 9:47 a.m.
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| gen_data_epl | R Documentation |
Example data generating process from Policy Learning With Observational Data
Description
The DGP from section 5.2 in Athey and Wager (2021)
Usage
gen_data_epl(n, type = c("continuous", "jump"))
Arguments
n |
Number of observations |
type |
tau is "continuous" (default - equation 46) or exhibits "jumps" (equation 47) |
Value
A list
References
Athey, Susan, and Stefan Wager. "Policy Learning With Observational Data." Econometrica 89.1 (2021): 133-161.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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