findweights: Find optimal weights based on the quantileloss
In iantsuising/quickfun:
Description
Usage
Arguments
Value
Description
A weight is multiplied to the quantileloss to select the important projection scores.
Usage
1
findweights(weight, scorematrixlist, par.sig = 1000)
Arguments
weight
The initial weight to be optimized
scorematrixlist
A list of quantileloss matrices
par.sig
The parameter in sigmoid function, default is 1000
Value
It returns a list, which is the output of optim() function. Details can be seen in optim.
iantsuising/quickfun documentation built on Nov. 4, 2019, 1:52 p.m.
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.
Description Usage Arguments Value
Description
A weight is multiplied to the quantileloss to select the important projection scores.
Usage
1 | findweights(weight, scorematrixlist, par.sig = 1000)
|
Arguments
weight |
The initial weight to be optimized |
scorematrixlist |
A list of quantileloss matrices |
par.sig |
The parameter in sigmoid function, default is 1000 |
Value
It returns a list, which is the output of optim() function. Details can be seen in optim.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.