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5 projects in result set.
0. gbm - Generalized Boosted Models. Adding additional functionality to the gbm package, including additional robust regression methods, a new binomial classification method, and multinomial classification.
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Registered: 2009-06-02 16:27 |
1. 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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Registered: 2008-06-05 19:31 |
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.
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Registered: 2016-03-07 02:31 |
3. DirichletReg: Dirichlet Regression - This project implements Dirichlet regression models for the analysis of compositional data. Starting with the basic fit routines, new functions (model selection, graphics, etc.) will be added and tested here, before being submitted to CRAN.
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Registered: 2010-09-26 14:19 |
4. sensitivity - A collection of functions for factor screening and global sensitivity analysis of model output.
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Registered: 2008-07-15 09:49 |
