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40 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. semtools: Methods for SEMs - semtools - Methods for Diagnostic Testing of Structural Equation Models
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Registered: 2010-09-21 22:15 |
1. mmSAR - mmSAR was a R package for the modelling of the Species-Area Relationship (SAR). It is now deprecated and has been replaced by the "sars" R package, available at https://cran.r-project.org/web/packages/sars/index.html
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- Development Status : 4 - Beta [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2009-08-25 12:11 |
2. 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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- Topic : Bayesian Statistics [Filter]
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Registered: 2011-09-26 21:39 |
3. 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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- Topic : Econometrics : Further Regression Models [Filter]
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Registered: 2011-09-23 08:18 |
4. sampleSelection: Limited Dependent Vari. - Packages for limited dependent variables: censored regression (Tobit) models (pkg censReg), interval regression models (pkg intReg), multivariate probit models (pkg mvProbit), and sample selection (Heckman) models (pkg sampleSelection)
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- Topic : Econometrics : Microeconometrics [Filter]
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2008-09-19 09:08 |
5. sensR: sensory discrimination analysis - The sensR package provides methods for (replicated) sensory discrimination methods; duotrio, triangle, 2-AFC, 3-AFC, A-not A, same-different and 2-AC. A number of models and utility methods are implemented.
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Registered: 2010-11-17 15:01 |
6. CatDyn Package for Catch Dynamics Models - Statistical models to assess fish stocks are becoming too demanding in terms of biological information. As an alternative to this trend we are developing the CatDyn project, an R package to assess fish stocks by modeling the operation of fishermen at sea.
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- Development Status : 4 - Beta [Filter]
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- Topic : Optimization [Filter]
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Registered: 2011-05-17 15:37 |
7. 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 |
8. RobASt - Robust Asymptotic Statistics - The project RobASt aims for the implementation of R packages for the computation of optimally robust estimators and tests as well as the necessary infrastructure (mainly S4 classes and methods) and diagnostics; cf. M. Kohl (2005).
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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: 2008-01-15 05:11 |
9. 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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- Programming Language : Fortran [Filter]
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- Topic : Econometrics : Further Regression Models [Filter]
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Registered: 2008-10-19 20:27 |
10. 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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- Development Status : 3 - Alpha [Filter]
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Registered: 2011-05-11 13:44 |
11. 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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- Development Status : 4 - Beta [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2008-06-14 13:52 |
12. 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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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Multivariate Statistics : Projection Methods [Filter]
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Registered: 2009-10-08 14:16 |
13. 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 |
14. topmodels: Extended Model Infrastructure - topmodels: Infrastructure for Forecasting and Assessment of Probabilistic Models
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- Development Status : 3 - Alpha [Filter]
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Registered: 2018-02-01 16:08 |
15. 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 |
16. Bias reduction in GLMs - brglm provides brglm.fit which is an alternative method to glm.fit that works under the usual glm interface.
Estimation is either by correcting the bias of the maximum likelihood estimates or using an adjusted-score approach to improving bias.
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Registered: 2011-08-20 14:19 |
17. sensitivity - A collection of functions for factor screening and global sensitivity analysis of model output.
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Registered: 2008-07-15 09:49 |
18. 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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Registered: 2007-07-25 14:05 |
19. 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 |
40 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
