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Topic :: Regression Models [Remove This Filter]
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8 projects in result set.
0. arm - R functions for processing lm, glm, mer and polr outputs.
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Registered: 2008-04-09 23:40 |
1. 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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- Topic : Machine Learning : Boosting [Filter]
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Registered: 2009-06-02 16:27 |
2. 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 |
3. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling.
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Registered: 2011-06-17 13:35 |
4. 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 |
5. R package nlstools - The R package nlstools: a toolbox for nonlinear regression diagnostics
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Registered: 2009-02-24 11:54 |
6. BradleyTerry2 - BradleyTerry2 provides facilities to specify, fit and evaluate Bradley-Terry models for pairwise comparisons. Models may incorporate object-specific, subject-specific, or contest-specific variables, as well as random effects.
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2010-04-28 10:52 |
7. 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 |
