xfit_dr: Title
In crossurr: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
xfit_dr R Documentation
Title
Description
Title
Usage
xfit_dr(
ds,
x,
y,
a,
K = 5,
outcome_learners = NULL,
ps_learners = outcome_learners,
interaction_model = TRUE,
trim_at = 0.05,
outcome_family = gaussian(),
mthd = "superlearner",
ncores = parallel::detectCores() - 1,
...
)
crossurr documentation built on June 22, 2024, 9:26 a.m.
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| xfit_dr | R Documentation |
Title
Description
Title
Usage
xfit_dr(
ds,
x,
y,
a,
K = 5,
outcome_learners = NULL,
ps_learners = outcome_learners,
interaction_model = TRUE,
trim_at = 0.05,
outcome_family = gaussian(),
mthd = "superlearner",
ncores = parallel::detectCores() - 1,
...
)
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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