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6 projects in result set.
0. 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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Activity Percentile: 12.50
Registered: 2007-08-17 17:30 |
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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Registered: 2016-03-07 02:31 |
2. 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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Registered: 2007-08-17 15:17 |
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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Registered: 2008-06-05 19:31 |
4. 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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Registered: 2014-10-29 16:43 |
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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Registered: 2009-06-02 16:27 |
