get_SL_fn: Get the Super Learner function given a library of...
In WannabeSmith/sequential.causal: Confidence sequences for the average treatment effect
View source: R/doubly_robust.R
get_SL_fn R Documentation
Get the Super Learner function given a library of SuperLearner algorithms.
Description
Get the Super Learner function given a library of SuperLearner algorithms.
Usage
get_SL_fn(
SL.library = c("SL.earth", "SL.gam", "SL.glm", "SL.glmnet", "SL.glm.interaction",
"SL.ranger"),
family = gaussian()
)
Arguments
SL.library
Character vector containing SuperLearner algorithm names.
family
The family for the algorithm. If estimating the propensity
score, set 'family = binomial', but if estimating the
regression function, set 'family = gaussian()'.
Value
Function which takes three arguments 'y', 'X', and 'newX', the
training outcome, training covariates, and evaluation covariates,
respectively. This function takes 'y' and 'X' to train the
algorithm and uses the 'SuperLearner' library to predict the outcome
for the covariates 'newX'.
WannabeSmith/sequential.causal documentation built on Sept. 12, 2023, 3:10 p.m.
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View source: R/doubly_robust.R
| get_SL_fn | R Documentation |
Get the Super Learner function given a library of SuperLearner algorithms.
Description
Get the Super Learner function given a library of SuperLearner algorithms.
Usage
get_SL_fn(
SL.library = c("SL.earth", "SL.gam", "SL.glm", "SL.glmnet", "SL.glm.interaction",
"SL.ranger"),
family = gaussian()
)
Arguments
SL.library |
Character vector containing SuperLearner algorithm names. |
family |
The family for the algorithm. If estimating the propensity score, set 'family = binomial', but if estimating the regression function, set 'family = gaussian()'. |
Value
Function which takes three arguments 'y', 'X', and 'newX', the training outcome, training covariates, and evaluation covariates, respectively. This function takes 'y' and 'X' to train the algorithm and uses the 'SuperLearner' library to predict the outcome for the covariates 'newX'.
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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