grad_offset: Gradient for Logistic Regression with Offsets
In survtmle: Compute Targeted Minimum Loss-Based Estimates in Right-Censored Survival Settings
Description
Usage
Arguments
Value
Description
A function that computes the gradient of the for a logistic regression
model with an offset term. Used by optim on occasion.
Usage
1
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
survtmle documentation built on May 2, 2019, 9:44 a.m.
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Description Usage Arguments Value
Description
A function that computes the gradient of the for a logistic regression
model with an offset term. Used by optim on occasion.
Usage
1 | 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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