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4 projects in result set.
0. QSAR Data Sets - Molecular descriptors and outcomes for several public domain data sets
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- Topic : Chemoinformatics [Filter]
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Registered: 2010-09-19 03:40 |
1. Point Process Statistics - This package implements statistical methods for one-dimensional marked
point process models.
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- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2010-08-05 07:40 |
2. 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.
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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 |
3. Tools for Uplift Modeling - The R Package tools4uplift integrates some tools for exploring and modeling uplift. The content can be separated into the following steps of statistical modeling: quantization, visualization, model selection and model validation.
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- Topic : Graphics : Plotting [Filter]
- Topic : Machine Learning : Model Selection and Validation (Now Filtering)
- Topic : Regression Models [Filter]
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Registered: 2018-08-31 21:23 |
