dr_score_logit_cpp: Logit-scale DR score computation
In NonlinearDiD: Staggered Difference-in-Differences with Nonlinear Outcomes
dr_score_logit_cpp R Documentation
Logit-scale DR score computation
Description
Computes the doubly-robust score function for the
logit-scale DiD estimator. Used internally for fast SE computation.
Usage
dr_score_logit_cpp(delta_logit, D, pscore, mu_hat)
Arguments
delta_logit
Numeric vector of logit(Y1) - logit(Y0).
D
Integer vector of treatment indicators.
pscore
Numeric vector of propensity scores.
mu_hat
Numeric vector of outcome model predictions.
Value
Numeric vector of DR scores (influence functions).
NonlinearDiD documentation built on May 6, 2026, 1:06 a.m.
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| dr_score_logit_cpp | R Documentation |
Logit-scale DR score computation
Description
Computes the doubly-robust score function for the logit-scale DiD estimator. Used internally for fast SE computation.
Usage
dr_score_logit_cpp(delta_logit, D, pscore, mu_hat)
Arguments
delta_logit |
Numeric vector of logit(Y1) - logit(Y0). |
D |
Integer vector of treatment indicators. |
pscore |
Numeric vector of propensity scores. |
mu_hat |
Numeric vector of outcome model predictions. |
Value
Numeric vector of DR scores (influence functions).
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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