SCI: A Smooth concordance loss function for mboost algorithms
In linxihui/lazyML: Automatic machine learning algorithms and hyper-parameters selection
Description
Usage
Arguments
Value
References
View source: R/survival_misc.R
Description
A Smooth concordance loss function for mboost algorithms
Usage
1
SCI(alpha = 1)
Arguments
alpha
the scale parater in 1/(1+alpha*z) to approach the function with value = 0, 1. Default to 1
Value
a mboost::Family object for mboost algorithms
References
http://www.hindawi.com/journals/cmmm/2013/873595/
linxihui/lazyML documentation built on May 21, 2019, 6:39 a.m.
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Description Usage Arguments Value References
View source: R/survival_misc.R
Description
A Smooth concordance loss function for mboost algorithms
Usage
1 | SCI(alpha = 1)
|
Arguments
alpha |
the scale parater in 1/(1+alpha*z) to approach the function with value = 0, 1. Default to 1 |
Value
a mboost::Family object for mboost algorithms
References
http://www.hindawi.com/journals/cmmm/2013/873595/
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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