DWNNEL: DWNNEL: Doubly Weighted Neural Network Ensemble Learning...
In SkadiEye/ITRlearn: Individualized Treatment Rule Learning
Description
The DWNNEL package provides a doubly weighted neural network ensemble learning
method to model individualized treatment rule by adopting outcome weighted learning,
deep learning and ensemble learning. Besides, a few other frameworks and regression/
classifcation methods are also integrated in this packages, together with cross
validation for either grid search or performance evaluation.
SkadiEye/ITRlearn documentation built on May 24, 2019, 1:31 a.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
The DWNNEL package provides a doubly weighted neural network ensemble learning method to model individualized treatment rule by adopting outcome weighted learning, deep learning and ensemble learning. Besides, a few other frameworks and regression/ classifcation methods are also integrated in this packages, together with cross validation for either grid search or performance evaluation.
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.