ic: Information criterion
In anthonyyazdani/OOS: GLM's out of sample (OOS) performances
Description
Usage
Arguments
Value
Description
Information criterion
Usage
1
Arguments
expr
GLM formula.
df
Data.frame.
family
Object : a description of the error distribution.
penalty
numeric specifying the ‘weight’ of the equivalent degrees of freedom. (penalty = 2 is the AIC and penalty = log(n) is the BIC)
Value
The Information Criterion for expr.
anthonyyazdani/OOS documentation built on Sept. 5, 2020, 12:54 a.m.
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Description Usage Arguments Value
Description
Information criterion
Usage
1 |
Arguments
expr |
GLM formula. |
df |
Data.frame. |
family |
Object : a description of the error distribution. |
penalty |
numeric specifying the ‘weight’ of the equivalent degrees of freedom. (penalty = 2 is the AIC and penalty = log(n) is the BIC) |
Value
The Information Criterion for expr.
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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