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69 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. 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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Registered: 2008-09-19 09:08 |
1. 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 |
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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Registered: 2014-10-29 16:43 |
3. 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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Registered: 2013-11-14 14:32 |
4. 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 |
5. arm - R functions for processing lm, glm, mer and polr outputs.
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Registered: 2008-04-09 23:40 |
6. 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 |
7. 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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Registered: 2014-02-28 13:11 |
8. 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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Registered: 2007-07-08 20:21 |
9. art: Applied Regression Tools - Tools for working with various types of regression tools,
including diagnostic graphics, inference and model comparison.
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Registered: 2007-01-31 15:08 |
10. 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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Registered: 2008-04-03 21:32 |
11. 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 |
12. R functions for functional data analysis - The ‘fda’ package includes functions and data sets for functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis (Springer) and (2002), Applied Functional Data Analysis (Springer).
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Registered: 2008-01-18 03:15 |
13. 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 |
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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Registered: 2008-06-05 19:31 |
15. 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 |
16. Model-Free Psychometric Functions - Local linear estimation of psychometric functions. Provides functions for nonparametric estimation of a psychometric function and for estimation of a derived threshold and slope, and their standard deviations and confidence intervals.
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Registered: 2009-08-22 09:52 |
17. 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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Registered: 2011-05-17 15:37 |
18. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models.
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Registered: 2007-08-17 17:27 |
19. 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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Registered: 2007-08-17 15:17 |
69 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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