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Topic > Regression Models |
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7 projects in result set.
0. R package nlstools - The R package nlstools: a toolbox for nonlinear regression diagnostics |
- Development Status : 5 - Production/Stable [Filter]
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- Programming Language : R [Filter]
- Topic : Regression Models [Filter]
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Registered: 2009-02-24 11:54 |
1. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models. |
- Development Status : 4 - Beta [Filter]
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- Topic : Regression Models [Filter]
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2007-08-17 17:27 |
2. arm - R functions for processing lm, glm, mer and polr outputs. |
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- Topic : Bayesian Statistics [Filter]
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- Topic : Regression Models [Filter]
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Registered: 2008-04-09 23:40 |
3. 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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- Topic : Regression Models [Filter]
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2010-04-28 10:52 |
4. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling. |
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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Multivariate Statistics : Missing Data [Filter]
- Topic : Regression Models [Filter]
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Registered: 2011-06-17 13:35 |
5. 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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- Topic : Regression Models [Filter]
- Topic : Robust Statistics [Filter]
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Registered: 2012-05-15 16:23 |
6. 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 |