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7 projects in result set.
0. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects.
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- Development Status : 4 - Beta [Filter]
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Registered: 2012-05-15 16:23 |
1. 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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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2016-03-07 02:31 |
2. R package nlstools - The R package nlstools: a toolbox for nonlinear regression diagnostics
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- Development Status : 5 - Production/Stable [Filter]
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Registered: 2009-02-24 11:54 |
3. 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 |
4. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling.
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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Multivariate Statistics : Missing Data [Filter]
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Registered: 2011-06-17 13:35 |
5. 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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- Development Status : 5 - Production/Stable [Filter]
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Registered: 2008-06-05 19:31 |
6. 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]
- Environment : Console (Text Based) [Filter]
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Registered: 2012-01-22 07:45 |
