grad_offset: Gradient for Logistic Regression with Offsets
In benkeser/survtmle: Compute Targeted Minimum Loss-Based Estimates in Right-Censored Survival Settings
grad_offset R Documentation
Gradient for Logistic Regression with Offsets
Description
A function that computes the gradient of the for a logistic
regression model with an offset term. Used by optim on
occasion.
Usage
grad_offset(beta, Y, H, offset = NULL)
Arguments
beta
A vector of coefficients in a logistic glm
Y
The outcome
H
The covariate matrix
offset
The offset vector
Value
Numeric vector of the gradient of the parameter vector.
benkeser/survtmle documentation built on Nov. 23, 2023, 4:45 a.m.
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| grad_offset | R Documentation |
Gradient for Logistic Regression with Offsets
Description
A function that computes the gradient of the for a logistic
regression model with an offset term. Used by optim on
occasion.
Usage
grad_offset(beta, Y, H, offset = NULL)
Arguments
beta |
A vector of coefficients in a logistic glm |
Y |
The outcome |
H |
The covariate matrix |
offset |
The offset vector |
Value
Numeric vector of the gradient of the parameter vector.
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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