grad.x.deriv_link: Gradient derivative for x wrt link function
In feng-li/movingknots: Efficient Bayesian multivariate surface regression
Description
Usage
Arguments
Value
Author(s)
View source: R/algorithms__grad.x.deriv_link.R
Description
Just the chain rule.
Usage
1
grad.x.deriv_link(grad, Param, link)
Arguments
grad
"matrix" gradient
Param
"matrix" should always be a matrix
link
NA
Value
NA
Author(s)
Feng Li, Department of Statistics, Stockholm University, Sweden.
feng-li/movingknots documentation built on March 30, 2021, 11:58 a.m.
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Description Usage Arguments Value Author(s)
View source: R/algorithms__grad.x.deriv_link.R
Description
Just the chain rule.
Usage
1 | grad.x.deriv_link(grad, Param, link)
|
Arguments
grad |
"matrix" gradient |
Param |
"matrix" should always be a matrix |
link |
NA |
Value
NA
Author(s)
Feng Li, Department of Statistics, Stockholm University, Sweden.
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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