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 Topic > Regression Models
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6 projects in result set.
0. 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 |
1. arm - R functions for processing lm, glm, mer and polr outputs.
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Registered: 2008-04-09 23:40 |
2. factorplot - factorplot provides numerical and graphical summaries of factor-level differences in GLMs. It produces all pairwise hypotheses tests with either the exact pairwise difference and variance or user-supplied quasi-variances or floating absolute risks.
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Registered: 2011-05-30 16:43 |
3. Dave Armstrong's Misc Functions - Package contains functions to aid in the presentation and interpretation of GLMs and related models. These include utilities to help deal with present interactions in linear and logit/probit models, first differences in predicted probabilities, etc...
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Registered: 2012-05-07 16:37 |
4. 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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Registered: 2012-05-15 16:23 |
5. Tools for Uplift Modeling - The R Package tools4uplift integrates some tools for exploring and modeling uplift. The content can be separated into the following steps of statistical modeling: quantization, visualization, model selection and model validation.
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Registered: 2018-08-31 21:23 |
