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27 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models.
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- Development Status : 3 - Alpha [Filter]
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Activity Percentile: 16.67
Registered: 2010-08-20 11:45 |
1. 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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Activity Percentile: 0.00
Registered: 2011-05-17 15:37 |
2. 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 |
3. 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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Registered: 2008-09-30 11:39 |
4. 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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Registered: 2011-09-23 08:18 |
5. calibFit - This package provides curve fitting, visualization, and calibration methods for the development, validation, and use of biological and chemical assays. The functionality includes heteroscedasticity, model selection, and measures of assay quality.
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Registered: 2011-10-25 17:59 |
6. 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 |
7. Regression Modeling Strategies - Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling.
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Registered: 2010-11-22 19:09 |
8. Instrument Limit of Detection Modeling - Limit of Detection (LOD) reflects an (medical diagnostic) instrument's level of sensitivity. We develop the LOD model selection and estimation tools with application to medical diagnostic instruments.
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Registered: 2011-11-14 17:17 |
9. kinfit/(g)mkin: fit chemical degradation - kinfit and mkin are implementations of the kinetic models and evaluation procedures recommended by in the final report of the FOCUS work group on degradation kinetics first published in 2006. gmkin provides a graphical user interface to mkin.
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Registered: 2009-11-30 15:56 |
10. semtools: Methods for SEMs - semtools - Methods for Diagnostic Testing of Structural Equation Models
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Registered: 2010-09-21 22:15 |
11. 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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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2009-08-25 12:11 |
12. logisticDx - Diagnostic tests for logistic regression. Includes 15x common diagnostic tests including leverage, dChi-square and dBhat per covariate pattern. Also plots for same.
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Registered: 2012-09-10 02:59 |
13. 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 |
14. Forecasting with Artificial Intelligence - The package ForAI uses machine learning methods such as artificial neural networks, support vector regression, extreme learning machines, and evolutionary algorithms for forecasting and prediction.
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Registered: 2012-01-22 07:45 |
15. DierckxSpline - This package contains wrappers for Dierckx FITPACK routines for splines. These include univariate smoothing and least-squares splines.
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Registered: 2007-09-07 17:22 |
16. 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 |
17. 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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Registered: 2007-08-17 17:30 |
18. 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 |
19. 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 |
27 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
