dot-getPsiDistributionNestedCV: Compute the conditional (given Y = y) CV-estimated...
In benkeser/predtmle: Small sample estimators of cross-validated prediction metrics
Description
Usage
Arguments
Value
Description
Compute the conditional (given Y = y) CV-estimated distribution of psi
Usage
1
.getPsiDistributionNestedCV(x, y, prediction_list, folds, epsilon = 0)
Arguments
x
The outer validation fold withheld
y
What value of Y to compute dist. est.
prediction_list
List output from .getPredictions.
folds
Cross validation fold indicator.
epsilon
A vector of estimated coefficients form tmle fluctuation
submodels.
Value
A data.frame with the distribution of psi given Y = y with names
psix (what value estimates are evaluated at), dFn (density estimates),
Fn (cdf estimates)
benkeser/predtmle documentation built on May 20, 2019, 5:41 p.m.
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Description Usage Arguments Value
Description
Compute the conditional (given Y = y) CV-estimated distribution of psi
Usage
1 | .getPsiDistributionNestedCV(x, y, prediction_list, folds, epsilon = 0)
|
Arguments
x |
The outer validation fold withheld |
y |
What value of Y to compute dist. est. |
prediction_list |
List output from .getPredictions. |
folds |
Cross validation fold indicator. |
epsilon |
A vector of estimated coefficients form tmle fluctuation submodels. |
Value
A data.frame with the distribution of psi given Y = y with names psix (what value estimates are evaluated at), dFn (density estimates), Fn (cdf estimates)
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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