Software Map
Project Tree
Now limiting view to projects in the following categories:
Intended Audience :: End Users/Desktop [Remove This Filter]
Programming Language :: R [Remove This Filter]
Topic :: Machine Learning :: Boosting [Remove This Filter]
4 projects in result set.
0. CoxFlexBoost - CoxFlexBoost:
likelihood-based boosting approach to fit structured Cox-type survival models with linear, smooth and (linear/smooth) time-varying effects.
By applying a component-wise boosting approach variable selection and model choice are possible.
|
- Development Status : 4 - Beta [Filter]
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : R (Now Filtering)
- Topic : Machine Learning : Boosting (Now Filtering)
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
|
Registered: 2008-10-30 14:30 |
1. gbm - Generalized Boosted Models. Adding additional functionality to the gbm package, including additional robust regression methods, a new binomial classification method, and multinomial classification.
|
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Machine Learning : Boosting (Now Filtering)
- Topic : Regression Models [Filter]
|
Registered: 2009-06-02 16:27 |
2. mboost - Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
For an up to date version see https://github.com/boost-R/mboost
|
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : R (Now Filtering)
- Topic : Machine Learning : Boosting (Now Filtering)
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Multivariate Statistics : Linear Models [Filter]
|
Registered: 2007-07-07 15:13 |
3. ctm - Maximum likelihood and boosting estimators for conditional transformation models.
|
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : R (Now Filtering)
- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Machine Learning : Boosting (Now Filtering)
- Topic : Regression Models [Filter]
|
Activity Percentile: 0.00
Registered: 2012-01-12 14:03 |
