reverse_fisher: Reverse Fisher Matrix
In ICglm: Information Criteria for Generalized Linear Regression
Description
Usage
Arguments
Details
Value
View source: R/reverse_fisher.R
Description
This function allows you to calculate Fisher Information Matrix using "lm" and "glm" objects.
Usage
1
reverse_fisher(model)
Arguments
model
a "lm" or "glm" object
Details
Calculates Fisher Information Matrix using "lm" and "glm" objects. It uses
Value
a booster object with below components.
n_train
Number of cases in the input dataset.
ICglm documentation built on Nov. 12, 2021, 1:06 a.m.
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Description Usage Arguments Details Value
View source: R/reverse_fisher.R
Description
This function allows you to calculate Fisher Information Matrix using "lm" and "glm" objects.
Usage
1 | reverse_fisher(model)
|
Arguments
model |
a "lm" or "glm" object |
Details
Calculates Fisher Information Matrix using "lm" and "glm" objects. It uses
Value
a booster object with below components.
n_train |
Number of cases in the input dataset. |
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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