ateTuneHyperparam: Use plateau method to choose the L1 penalty of HAL (ATE)
In wilsoncai1992/TMLEbootstrap: Bootstrap Confidence Intervals for Targeted Maximum Likelihood Estimators
Description
Super class
Methods
Description
Use plateau method to choose the L1 penalty of HAL (ATE)
Use plateau method to choose the L1 penalty of HAL (ATE)
Super class
TMLEbootstrap::tuneHyperparam -> AteTuneHyperparam
Methods
Public methods
Inherited methods
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Method new()
Usage
ateTuneHyperparam$new(..., family_y)
Method add_lambda()
Usage
ateTuneHyperparam$add_lambda(lambda_grid = NULL, to_parallel = FALSE, ...)
Method clone()
The objects of this class are cloneable with this method.
Usage
ateTuneHyperparam$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
wilsoncai1992/TMLEbootstrap documentation built on Feb. 27, 2021, 7:57 a.m.
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Description Super class Methods
Description
Use plateau method to choose the L1 penalty of HAL (ATE)
Use plateau method to choose the L1 penalty of HAL (ATE)
Super class
TMLEbootstrap::tuneHyperparam -> AteTuneHyperparam
Methods
Public methods
Inherited methods
Method new()
Usage
ateTuneHyperparam$new(..., family_y)
Method add_lambda()
Usage
ateTuneHyperparam$add_lambda(lambda_grid = NULL, to_parallel = FALSE, ...)
Method clone()
The objects of this class are cloneable with this method.
Usage
ateTuneHyperparam$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
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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