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6 projects in result set.
0. 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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- Development Status : 4 - Beta [Filter]
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Registered: 2012-05-15 16:23 |
1. 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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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2010-04-28 10:52 |
2. arm - R functions for processing lm, glm, mer and polr outputs.
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- Development Status : 4 - Beta [Filter]
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- Topic : Bayesian Statistics [Filter]
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Registered: 2008-04-09 23:40 |
3. 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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- Development Status : 5 - Production/Stable [Filter]
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Topic : Multivariate Statistics [Filter]
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Registered: 2008-01-18 03:15 |
4. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models.
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- Development Status : 4 - Beta [Filter]
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2007-08-17 17:27 |
5. 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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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2016-03-07 02:31 |
