setV: Utilities setV Set the number of cross-validation folds as a...
In twoStageDesignTMLE: Targeted Maximum Likelihood Estimation for Two-Stage Study Design
setV R Documentation
Utilities
setV
Set the number of cross-validation
folds as a function of effective sample size
See Phillips 2023 doi.org/10.1093/ije/dyad023
Description
Utilities
setV
Set the number of cross-validation
folds as a function of effective sample size
See Phillips 2023 doi.org/10.1093/ije/dyad023
Usage
setV(n.effective)
Arguments
n.effective
the effective sample size
Value
the number of cross-validation folds
twoStageDesignTMLE documentation built on Sept. 11, 2024, 6:38 p.m.
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| setV | R Documentation |
Utilities setV Set the number of cross-validation folds as a function of effective sample size See Phillips 2023 doi.org/10.1093/ije/dyad023
Description
Utilities setV Set the number of cross-validation folds as a function of effective sample size See Phillips 2023 doi.org/10.1093/ije/dyad023
Usage
setV(n.effective)
Arguments
n.effective |
the effective sample size |
Value
the number of cross-validation folds
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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