glm.grad: Gradient for GLM
In jonlachmann/irls.sgd: Stochastic IRLS with SGD
glm.grad R Documentation
Gradient for GLM
Description
Gradient for GLM
Usage
glm.grad(x, y, theta, idx, family)
Arguments
x
A matrix containing the covariates (including an intercept if one wants to use one).
y
The dependent variable.
theta
The coefficient vector to use.
idx
The observation indices to use.
family
A glm family for the distribution to use, i.e. "binomial()".
jonlachmann/irls.sgd documentation built on March 11, 2023, 7:42 a.m.
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| glm.grad | R Documentation |
Gradient for GLM
Description
Gradient for GLM
Usage
glm.grad(x, y, theta, idx, family)
Arguments
x |
A matrix containing the covariates (including an intercept if one wants to use one). |
y |
The dependent variable. |
theta |
The coefficient vector to use. |
idx |
The observation indices to use. |
family |
A glm family for the distribution to use, i.e. "binomial()". |
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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