gradient.wnegloglik: gradient.wnegloglik
In benkeser/drinf: Computes doubly-robust estimators and doubly-robust confidence intervals
gradient.wnegloglik R Documentation
gradient.wnegloglik
Description
gradient.wnegloglik
Usage
gradient.wnegloglik(epsilon, weight, Y, offset)
Arguments
epsilon
The scalar parameter of the fluctuation submodel.
weight
The vector of weights, i.e., the clever covariates.
Y
The vector of regression outcomes.
offset
The vector of offsets.
Value
A vector of the gradient of the loss evaluated at the
data inputs.
benkeser/drinf documentation built on Oct. 22, 2023, 9:50 a.m.
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| gradient.wnegloglik | R Documentation |
gradient.wnegloglik
Description
gradient.wnegloglik
Usage
gradient.wnegloglik(epsilon, weight, Y, offset)
Arguments
epsilon |
The scalar parameter of the fluctuation submodel. |
weight |
The |
Y |
The |
offset |
The |
Value
A vector of the gradient of the loss evaluated at the
data inputs.
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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