estimate_nuisance: estimate_nuisance
In benkeser/haltmle.sim: Simulation study for HAL-TMLE
Description
estimate_nuisance
Usage
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estimate_nuisance(Y, W, A, V = 5, learners, remove_learner = NULL,
compute_superlearner = TRUE, sl_control_Q = list(ensemble_fn =
"ensemble_linear", optim_risk_fn = "optim_risk_sl_se", weight_fn =
"weight_sl_convex", cv_risk_fn = "cv_risk_sl_r2", family = gaussian(), alpha =
0.05), sl_control_g = list(ensemble_fn = "ensemble_linear", optim_risk_fn =
"optim_risk_sl_nloglik", weight_fn = "weight_sl_convex", cv_risk_fn =
"cv_risk_sl_r2", family = binomial(), alpha = 0.05))
benkeser/haltmle.sim documentation built on May 12, 2019, noon
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Description
estimate_nuisance
Usage
1 2 3 4 5 6 7 | estimate_nuisance(Y, W, A, V = 5, learners, remove_learner = NULL,
compute_superlearner = TRUE, sl_control_Q = list(ensemble_fn =
"ensemble_linear", optim_risk_fn = "optim_risk_sl_se", weight_fn =
"weight_sl_convex", cv_risk_fn = "cv_risk_sl_r2", family = gaussian(), alpha =
0.05), sl_control_g = list(ensemble_fn = "ensemble_linear", optim_risk_fn =
"optim_risk_sl_nloglik", weight_fn = "weight_sl_convex", cv_risk_fn =
"cv_risk_sl_r2", family = binomial(), alpha = 0.05))
|
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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