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3 projects in result set.
0. 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. |
- Development Status : 4 - Beta [Filter]
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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2018-08-31 21:23 |
1. calibFit - This package provides curve fitting, visualization, and calibration methods for the development, validation, and use of biological and chemical assays. The functionality includes heteroscedasticity, model selection, and measures of assay quality. |
- Development Status : 6 - Mature [Filter]
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- Topic : Design of Experiments & Analysis of Experimental Data [Filter]
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Registered: 2011-10-25 17:59 |
2. Regression Modeling Strategies - Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling. |
- Development Status : 5 - Production/Stable [Filter]
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- Programming Language : Fortran [Filter]
- Programming Language : R (Now Filtering)
- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Graphics : Applications [Filter]
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Registered: 2010-11-22 19:09 |