G2_curly_fun: Specification Function
In esreg: Joint Quantile and Expected Shortfall Regression
G2_curly_fun R Documentation
Specification Function
Description
G2_curly
Usage
G2_curly_fun(z, type)
Arguments
z
Data
type
Choice of the G2_curly function:
1: -log(-z), z < 0
2: -sqrt(-z), z < 0
3: -1/z, z < 0
4: log(1 + exp(z))
5: exp(z)
esreg documentation built on May 31, 2023, 9:25 p.m.
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| G2_curly_fun | R Documentation |
Specification Function
Description
G2_curly
Usage
G2_curly_fun(z, type)
Arguments
z |
Data |
type |
Choice of the G2_curly function:
|
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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