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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]
- Environment : Console (Text Based) [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
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- Programming Language : R [Filter]
- 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 |
1. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Other Environment [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Topic : Machine Learning : Model Selection and Validation (Now Filtering)
- Topic : Multivariate Statistics : Missing Data [Filter]
- Topic : Regression Models [Filter]
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Registered: 2011-06-17 13:35 |
2. 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. |
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS (Now Filtering)
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Model Selection and Validation (Now Filtering)
- Topic : Regression Models [Filter]
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Registered: 2016-03-07 02:31 |