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4 projects in result set.
0. 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.
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Registered: 2010-11-22 19:09 |
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.
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Registered: 2011-10-25 17:59 |
2. 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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Registered: 2018-08-31 21:23 |
3. Forecasting with Artificial Intelligence - The package ForAI uses machine learning methods such as artificial neural networks, support vector regression, extreme learning machines, and evolutionary algorithms for forecasting and prediction.
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- Development Status : 3 - Alpha [Filter]
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Registered: 2012-01-22 07:45 |
