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Topic > Regression Models |
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7 projects in result set.
0. cusp - Package for applying Cobb's maximum likelihood method to fitting cusp catastrophe models to data. The package was published in the Journal of Statistical Software [see www.jstatsoft.org/v32/i08/paper]. |
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- Topic : Econometrics : Structural Change [Filter]
- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
- Topic : Regression Models [Filter]
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Registered: 2014-10-29 16:43 |
1. sensitivity - A collection of functions for factor screening and global sensitivity analysis of model output. |
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- Topic : Multivariate Statistics [Filter]
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Registered: 2008-07-15 09:49 |
2. Matrix Methods and Classes - R package Matrix provides a hierarchy of matrix classes, both dense & sparse. Numerous methods & operations on these matrices using BLAS & Lapack; further CHOLMOD and other libraries from the SuiteSparse collection. |
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- Topic : Multivariate Statistics : Matrix Manipulations [Filter]
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Registered: 2007-08-17 17:30 |
3. 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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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Regression Models [Filter]
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Registered: 2008-06-05 19:31 |
4. robustbase - Basic Robust Statistics - R package for "Essential" Robust Statistics: Tools for data analysis with robust methods; incl. regression & multivariate stats; targeting to cover "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; 2006. |
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
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- Topic : Robust Statistics [Filter]
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Registered: 2007-08-17 15:17 |
5. 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 |
6. 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 |