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66 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. 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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Activity Percentile: 78.57
Registered: 2007-08-17 15:17 |
1. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models.
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Activity Percentile: 17.86
Registered: 2010-08-20 11:45 |
2. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models.
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2007-08-17 17:27 |
3. 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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Registered: 2007-11-26 10:11 |
4. 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 |
5. 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 |
6. 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 |
7. 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 |
8. 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 |
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. 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 |
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. 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 |
13. 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 |
14. 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 |
15. arm - R functions for processing lm, glm, mer and polr outputs.
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Registered: 2008-04-09 23:40 |
16. 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 |
17. 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 |
18. 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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Registered: 2011-05-11 13:44 |
19. 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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Registered: 2013-07-05 08:44 |
66 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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