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6 projects in result set.
0. QSAR Data Sets - Molecular descriptors and outcomes for several public domain data sets |
- Development Status : 4 - Beta [Filter]
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- Topic : Chemoinformatics [Filter]
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Registered: 2010-09-19 03:40 |
1. 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]
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- Topic : Machine Learning : Boosting [Filter]
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- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
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Registered: 2008-10-30 14:30 |
2. Sparse Multivariate Diffusions - Inference for discretely observed high dimensional diffusions given by SDEs with a sparse drift based on penalized loss function estimation and subsampling methods. |
- Development Status : 3 - Alpha [Filter]
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- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Numerical Analysis : Prob\. Methods, Simulation and Stochastic Differential Equations [Filter]
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Registered: 2010-07-05 09:50 |
3. Finite Mixure of AFT and FMR models - FMRS package provides estimation and variable selection in Finite Mixture of Accelerated Failure Time Regression (FMAFTR) and Finite Mixture of Regression (FMR) models with a large number of covariates and/or right censoring and heterogeneous structure. |
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- Topic : Machine Learning : Model Selection and Validation (Now Filtering)
- Topic : Regression Models [Filter]
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Registered: 2016-03-07 02:31 |
4. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling. |
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- Topic : Multivariate Statistics : Missing Data [Filter]
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Registered: 2011-06-17 13:35 |
5. Classification and Regression Training - The caret packages contain functions for tuning predictive models, pre-processing, variable importance and other tools related to machine learning and pattern recognition. Parallel processing versions of the main package are also included. |
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- Programming Language : R (Now Filtering)
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Registered: 2008-06-05 19:31 |