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8 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. |
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Machine Learning : Boosting [Filter]
- Topic : Regression Models (Now Filtering)
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Registered: 2009-06-02 16:27 |
1. splinesurv - A package containing utilities for nonparametric Bayesian analysis of clustered survival data. The baseline hazard function and frailty density are modeled using penalized B-splines. Regression and spline parameters are estimated via MCMC. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
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- Intended Audience : Other Audience [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Other/Nonlisted Topic [Filter]
- Topic : Regression Models (Now Filtering)
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Registered: 2008-01-08 16:50 |
2. CorReg - find a structure explaining correlations between covariates and use it to compute linear regression. It provides an efficient new estimator for recursive SEM. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- Natural Language : English [Filter]
- Natural Language : French [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Econometrics : Linear Regression Models [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Robust Statistics [Filter]
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Registered: 2013-11-14 14:32 |
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. |
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Regression Models (Now Filtering)
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Registered: 2008-06-05 19:31 |
4. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Robust Statistics [Filter]
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Registered: 2012-05-15 16:23 |
5. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX [Filter]
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- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2007-08-17 17:27 |
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. |
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Regression Models (Now Filtering)
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Registered: 2016-03-07 02:31 |
7. partykit: Recursive Partytioning Toolkit - Infrastructure for representing, summarizing, and visualizing tree-structured models. It can be used for constructing or reading tree models from different sources (rpart, RWeka, PMML), sharing
functionality for print/plot/predict methods. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Machine Learning : Recursive Partitioning [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Software Development [Filter]
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Registered: 2008-09-30 11:39 |