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 Topic > Regression Models
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76 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. ctm - Maximum likelihood and boosting estimators for conditional transformation models.
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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Machine Learning : Boosting [Filter]
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Activity Percentile: 57.14
Registered: 2012-01-12 14:03 |
1. 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 |
2. 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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- Topic : Econometrics : Structural Change [Filter]
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Registered: 2014-10-29 16:43 |
3. Practical Data Analysis - Support routines and data accompanying Brian Yandell's "Practical Data Analysis for Designed Experiments" (www.stat.wisc.edu/~yandell/pda) book organized as an R package.
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- Development Status : 4 - Beta [Filter]
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Registered: 2007-07-08 20:21 |
4. Nonlinear regression analysis - Data sets from Bates and Watts (1988) "Nonlinear Regression Analysis and Its Applications" plus lattice-based graphics for nonlinear regression models, including parameter inference regions.
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Registered: 2007-06-01 15:07 |
5. 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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Registered: 2008-09-19 09:08 |
6. mediation - An important goal of social science research is the analysis of causal mechanisms, where mediation analysis is a common tool. We provide tools for mediation analysis that span different models as well tools for sensitivity analyses.
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Registered: 2011-04-19 18:26 |
7. 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 |
8. art: Applied Regression Tools - Tools for working with various types of regression tools,
including diagnostic graphics, inference and model comparison.
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- Development Status : 1 - Planning [Filter]
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Registered: 2007-01-31 15:08 |
9. Dynamic Treatment Regimes - A package implementing several modern methods to estimate Dynamic Treatment Regimes: Q-Learning, Interactive Q-Learning, and two value-search methods each using Augmented Inverse Probability Weighted Estimators or Inverse Probability Weighted Estimators.
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Registered: 2015-01-20 22:09 |
10. glmmADMB - Generalized linear mixed models using AD Model Builder. Fits mixed-effects models to count data using Poisson or negative binomial response distributions.
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- Topic : Multivariate Statistics : Linear Models [Filter]
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Registered: 2010-07-28 11:38 |
11. 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 |
12. 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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Registered: 2011-05-17 15:37 |
13. 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 |
14. 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 |
15. Curve Estimation etc - Nonparametric Curve Estimation and Related Topics
- univariate normal mixtures
- locally adaptive nonparametric regression (kernel, local polynomial)
- plugin density estimates
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Registered: 2010-07-27 17:16 |
16. factorplot - factorplot provides numerical and graphical summaries of factor-level differences in GLMs. It produces all pairwise hypotheses tests with either the exact pairwise difference and variance or user-supplied quasi-variances or floating absolute risks.
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Registered: 2011-05-30 16:43 |
17. 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 |
18. 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 |
19. 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 |
76 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
