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36 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. 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.
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Activity Percentile: 34.78
Registered: 2008-09-30 11:39 |
1. betareg: Beta Regression - Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions. Maximum likelihood regression, finite mixture models, and recursive partitioning for beta regressions are provided.
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- Development Status : 5 - Production/Stable [Filter]
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Registered: 2011-09-23 08:18 |
2. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models.
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- Topic : Bayesian Statistics : General Model Fitting [Filter]
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Registered: 2010-08-20 11:45 |
3. Moment and Inverse Moment Bayes factors - Performs model selection based on non-local priors, including MOM, eMOM and iMOM priors. Routines are provided to compute Bayes factors, marginal densities and to perform variable selection in regression setups.
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- Development Status : 6 - Mature [Filter]
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Registered: 2011-09-26 21:39 |
4. Parametric Frailty Models - Parametric Frailty Models, fitted by maximum marginal likelihood method.
Possible basline hazards: Weibull, Exponential, Gompertz, logNormal and loglogistic
Possible Frailty distributions: Gamma, Inverse Gaussian and Positive Stable
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Registered: 2011-10-28 16:21 |
5. glmx: Generalized Linear Models Extended - Extensions for generalized linear models (GLMs), especially for binary responses, allowing for parametric links or heterogeneity in the latent variables.
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Registered: 2011-04-12 13:09 |
6. The Degrees of Freedom of PLS - The package provides Degrees of Freedom of Partial Least Squares. Model selection based on information criteria can be performed.
Krämer & Braun (2007) Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection, ICML-07, 441 - 448
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Registered: 2009-10-08 14:16 |
7. 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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- Natural Language : German [Filter]
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
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Registered: 2007-08-17 15:17 |
8. sfadv - Advanced Methods for Stochastic Frontier Analyses
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- Topic : Econometrics : Further Regression Models [Filter]
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Registered: 2017-06-13 10:58 |
9. Probabilistic Index Models - Developing an R-package for a new class of regression models: Probabilistic Index Models.
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Activity Percentile: 0.00
Registered: 2011-06-09 14:01 |
10. blupsurv - Tools for fitting proportional hazards models to clustered
recurrent events data. Nested frailties are modeled by their
best linear unbiased predictors under an auxiliary Poisson model.
Univariate and bivariate recurrent events processes are permitted.
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Registered: 2008-06-14 13:52 |
11. Regression Models for Ordinal Data - This project hosts the R-package 'ordinal'. The ordinal R-package implements likelihood based models for ordinal (ordered categorical) data based on cumulative probabilities in the framework of cumulative link (mixed) models.
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Registered: 2010-06-12 18:24 |
12. caper - Comparative Analysis package - The Comparative Analyses of Phylogenetics and Evolution in R (caper) package implements a range of methods for the comparative analysis of taxa including methods based on phylogenetic independent contrasts and phylogenetically corrected linear models.
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- Topic : Genetics : Phylogenetics [Filter]
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Registered: 2011-01-14 11:43 |
13. topmodels: Enhanced Model Infrastructure - topmodels: Enhanced modeling infrastructure for probabilistic 4-casting, diagnostic graphics, and inference.
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Registered: 2018-02-01 16:08 |
14. frontier: Stochastic Frontier Analysis - Maximum Likelihood Estimation of Stochastic Frontier Production and Cost Functions. Two specifications are available: the error components model (Battese and Coelli, 1992) and the efficiency effects model (Battese and Coelli, 1995).
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Registered: 2008-10-19 20:27 |
15. Gauss-Seidel Estimation of GLMM - This project implements a block-wise Gauss-Seidel (GS) algorithm to fit Generalized Linear Mixed Models (GLMMs). The GS algorithm allows for a significant performance increase and memory saving.
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Registered: 2011-05-11 13:44 |
16. therese - The purpose of this package is to propose a method for inferring networks from expression data obtained in various experimental condition. The "cLasso" (consensus Lasso) method is implemented.
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Registered: 2013-07-05 08:44 |
17. Models for Data from Unmarked Animals - This is a stub. Development now continues at http://github.com/ianfiske/unmarked.
unmarked analyzes wildlife data arising from many popular wildlife sampling techniques using 2-stage hierarchical models.
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2007-07-25 14:05 |
18. 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 |
19. MethComp - Functions for analysis of method comparison studies.
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Registered: 2009-02-19 23:41 |
36 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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