get.gradient: Get the Gradient of the Loss Function of Gumbel Regression...
In wush978/gumbelRegression: Implement Functions for Fitting Gumbel Regression
Usage
1
2
get.gradient(X, y,
implementation = getOption("gumbelRegression.implementation", "r"))
Arguments
X
matrix. The covariates.
y
numeric vector. The response.
implementation
character value. Select the implemenation.
Value
function with single parameter which should be a numeric vector w.
The first element of w is the log of scale parameter of gumbel distribution.
The other elements are regression coefficients.
wush978/gumbelRegression documentation built on May 9, 2019, 2:29 p.m.
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Usage
1 2 | get.gradient(X, y,
implementation = getOption("gumbelRegression.implementation", "r"))
|
Arguments
X |
matrix. The covariates. |
y |
numeric vector. The response. |
implementation |
character value. Select the implemenation. |
Value
function with single parameter which should be a numeric vector w.
The first element of w is the log of scale parameter of gumbel distribution.
The other elements are regression coefficients.
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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