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8 projects in result set.
0. 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... |
- Development Status : 4 - Beta [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
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- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2012-05-07 16:37 |
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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- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Operating System : MacOS [Filter]
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- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2007-08-17 17:27 |
2. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Robust Statistics [Filter]
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Registered: 2012-05-15 16:23 |
3. lm.br - Exact significance tests for a changepoint in linear or multiple linear regression. Confidence intervals and confidence regions with exact coverage probabilities for the changepoint. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
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- Programming Language : C/C\+\+ [Filter]
- Topic : Econometrics : Structural Change [Filter]
- Topic : Regression Models (Now Filtering)
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Registered: 2013-02-25 20:29 |
4. arm - R functions for processing lm, glm, mer and polr outputs. |
- Development Status : 4 - Beta [Filter]
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
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- Natural Language : English [Filter]
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- Programming Language : R [Filter]
- Topic : Bayesian Statistics [Filter]
- Topic : Graphics [Filter]
- Topic : Regression Models (Now Filtering)
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Registered: 2008-04-09 23:40 |
5. 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. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
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- Topic : Graphics [Filter]
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2011-05-30 16:43 |
6. 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. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
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- Topic : Graphics : Plotting [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Regression Models (Now Filtering)
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Registered: 2018-08-31 21:23 |
7. CorReg - find a structure explaining correlations between covariates and use it to compute linear regression. It provides an efficient new estimator for recursive SEM. |
- Development Status : 4 - Beta [Filter]
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- Natural Language : French [Filter]
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- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Econometrics : Linear Regression Models [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Robust Statistics [Filter]
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Registered: 2013-11-14 14:32 |