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 Topic > Regression Models
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74 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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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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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Multivariate Statistics : Matrix Manipulations [Filter]
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Activity Percentile: 63.64
Registered: 2007-08-17 17:30 |
1. 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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- Topic : Bayesian Statistics : General Model Fitting [Filter]
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- Topic : Spatial Data & Statistics [Filter]
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Activity Percentile: 54.55
Registered: 2010-08-20 11:45 |
2. 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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- Topic : Econometrics : Further Regression Models [Filter]
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- Topic : Social Sciences : Other Regression Models [Filter]
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Activity Percentile: 45.45
Registered: 2011-09-23 08:18 |
3. 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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- Development Status : 4 - Beta [Filter]
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- Topic : Econometrics : Microeconometrics [Filter]
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Activity Percentile: 0.00
Registered: 2011-04-12 13:09 |
4. multcomp: Simultaneous Inference - Simultaneous Inference in General Parametric Models - Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models.
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Activity Percentile: 0.00
Registered: 2008-04-03 21:32 |
5. 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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Activity Percentile: 0.00
Registered: 2013-07-05 08:44 |
6. sensitivity - A collection of functions for factor screening and global sensitivity analysis of model output.
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Activity Percentile: 0.00
Registered: 2008-07-15 09:49 |
7. 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 |
8. 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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Activity Percentile: 0.00
Registered: 2010-11-17 15:01 |
9. selectivity - Fishing gear selectivity analysis tools. Methods available for pair trawl, trouser trawl, double cod-end and square mesh panels.
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- Development Status : 1 - Planning [Filter]
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
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Activity Percentile: 0.00
Registered: 2009-10-16 21:31 |
10. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects.
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Activity Percentile: 0.00
Registered: 2012-05-15 16:23 |
11. Shrinkage Estimation - `shrink' is an R package for James-Stein-type shrinkage estimation of the parameters of a linear regression model. This is a work in progress jointly with S. Ejaz Ahmed (seahmed at uwindsor dot ca).
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Activity Percentile: 0.00
Registered: 2010-09-04 03:45 |
12. Dave Armstrong's Misc Functions - Package contains functions to aid in the presentation and interpretation of GLMs and related models. These include utilities to help deal with present interactions in linear and logit/probit models, first differences in predicted probabilities, etc...
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- Development Status : 4 - Beta [Filter]
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Activity Percentile: 0.00
Registered: 2012-05-07 16:37 |
13. Multilevel frailty models - Semiparametric proportional hazard models with K random effects, estimated via the EM-PL algorithm (Horny, 2009)
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- Development Status : 3 - Alpha [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
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Activity Percentile: 0.00
Registered: 2012-04-30 07:14 |
14. 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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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Activity Percentile: 0.00
Registered: 2008-06-05 19:31 |
15. CorReg - find a structure explaining correlations between covariates and use it to compute linear regression. It provides an efficient new estimator for recursive SEM.
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- Topic : Econometrics : Linear Regression Models [Filter]
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Activity Percentile: 0.00
Registered: 2013-11-14 14:32 |
16. DierckxSpline - This package contains wrappers for Dierckx FITPACK routines for splines. These include univariate smoothing and least-squares splines.
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- Development Status : 3 - Alpha [Filter]
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Activity Percentile: 0.00
Registered: 2007-09-07 17:22 |
17. 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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- Topic : Machine Learning : Recursive Partitioning [Filter]
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Activity Percentile: 0.00
Registered: 2008-09-30 11:39 |
18. Spike Train Analysis with R - STAR (Spike Train Analysis with R) is an R package to analyze spike trains. It provides tools to visualize spike trains and fit, test and compare models of discharge applied to actual data.
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Activity Percentile: 0.00
Registered: 2007-11-26 10:11 |
19. lethal - Compute lethal doses for count data based on generalized additive models (GAMs) together with parametric bootstrap confidence intervals for the lethal dose.
For a current development version see https://github.com/hofnerb/lethal
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
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Registered: 2014-02-28 13:11 |
74 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
