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25 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. 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 |
1. GAMLSS - Generalised Additive models for Location, scale and shape
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Registered: 2011-02-08 11:11 |
2. 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 |
3. 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 |
4. Parametric Frailty Models - Parametric Frailty Models, fitted by maximum marginal likelihood method.
Possible basline hazards: Weibull, Exponential, Gompertz, logNormal and loglogistic
Possible Frailty distributions: Gamma, Inverse Gaussian and Positive Stable
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Registered: 2011-10-28 16:21 |
5. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling.
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Registered: 2011-06-17 13:35 |
6. BradleyTerry2 - BradleyTerry2 provides facilities to specify, fit and evaluate Bradley-Terry models for pairwise comparisons. Models may incorporate object-specific, subject-specific, or contest-specific variables, as well as random effects.
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Registered: 2010-04-28 10:52 |
7. 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 |
8. Regression with Functional Data - Methodology for regression with functional data, including a variety of approaches to (i) regressing scalar responses on functional predictors and (ii) regression with functional responses.
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Registered: 2012-08-05 16:54 |
9. gbm - Generalized Boosted Models. Adding additional functionality to the gbm package, including additional robust regression methods, a new binomial classification method, and multinomial classification.
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Registered: 2009-06-02 16:27 |
10. arm - R functions for processing lm, glm, mer and polr outputs.
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Registered: 2008-04-09 23:40 |
11. 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 |
12. 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 |
13. 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 |
14. 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 |
15. 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 |
16. 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 |
17. ctm - Maximum likelihood and boosting estimators for conditional transformation models.
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Registered: 2012-01-12 14:03 |
18. Finite Mixure of AFT and FMR models - FMRS package provides estimation and variable selection in Finite Mixture of Accelerated Failure Time Regression (FMAFTR) and Finite Mixture of Regression (FMR) models with a large number of covariates and/or right censoring and heterogeneous structure.
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Registered: 2016-03-07 02:31 |
19. sandwich: Robust Covariance Estimation - An object-oriented implementation of model-robust covariances and standard error estimators for cross-sectional, time series, and longitudinal data.
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Registered: 2016-09-21 08:36 |
25 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
