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Topic :: Regression Models [Remove This Filter]
Development Status :: 4 - Beta [Remove This Filter]
7 projects in result set.
0. CorReg - find a structure explaining correlations between covariates and use it to compute linear regression. It provides an efficient new estimator for recursive SEM. |
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- Topic : Econometrics : Linear Regression Models [Filter]
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Registered: 2013-11-14 14:32 |
1. 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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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2018-08-31 21:23 |
2. arm - R functions for processing lm, glm, mer and polr outputs. |
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- Topic : Bayesian Statistics [Filter]
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Registered: 2008-04-09 23:40 |
3. 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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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2011-05-30 16:43 |
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. 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 |
6. 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 |