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 Topic > Regression Models
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14 projects in result set.
0. 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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- Development Status : 4 - Beta [Filter]
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2011-05-30 16:43 |
1. 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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- Development Status : 4 - Beta [Filter]
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- 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 |
2. Shrinkage Estimation - `shrink' is an R package for James-Stein-type shrinkage estimation of the parameters of a linear regression model. This is a work in progress jointly with S. Ejaz Ahmed (seahmed at uwindsor dot ca).
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- Development Status : 1 - Planning [Filter]
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- Topic : Regression Models [Filter]
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Registered: 2010-09-04 03:45 |
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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- Development Status : 5 - Production/Stable [Filter]
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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. Multilevel frailty models - Semiparametric proportional hazard models with K random effects, estimated via the EM-PL algorithm (Horny, 2009)
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- Development Status : 3 - Alpha [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Regression Models [Filter]
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Registered: 2012-04-30 07:14 |
5. Forecasting with Artificial Intelligence - The package ForAI uses machine learning methods such as artificial neural networks, support vector regression, extreme learning machines, and evolutionary algorithms for forecasting and prediction.
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- Development Status : 3 - Alpha [Filter]
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- Topic : Machine Learning [Filter]
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- Topic : Regression Models [Filter]
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Registered: 2012-01-22 07:45 |
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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- Development Status : 5 - Production/Stable [Filter]
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- Programming Language : C/C\+\+ [Filter]
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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Regression Models [Filter]
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Registered: 2016-03-07 02:31 |
7. 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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- Topic : Regression Models [Filter]
- Topic : Robust Statistics [Filter]
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Registered: 2012-05-15 16:23 |
8. Regression Modeling Strategies - Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling.
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- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
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- Programming Language : Fortran [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Graphics : Applications [Filter]
- Topic : Regression Models [Filter]
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Registered: 2010-11-22 19:09 |
9. 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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- Development Status : 4 - Beta [Filter]
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- Topic : Graphics : Plotting [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Regression Models [Filter]
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Registered: 2018-08-31 21:23 |
10. calibFit - This package provides curve fitting, visualization, and calibration methods for the development, validation, and use of biological and chemical assays. The functionality includes heteroscedasticity, model selection, and measures of assay quality.
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- Development Status : 6 - Mature [Filter]
- Environment : Console (Text Based) [Filter]
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- Topic : Design of Experiments & Analysis of Experimental Data [Filter]
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- Topic : Regression Models [Filter]
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Registered: 2011-10-25 17:59 |
11. Classification and Regression Training - The caret packages contain functions for tuning predictive models, pre-processing, variable importance and other tools related to machine learning and pattern recognition. Parallel processing versions of the main package are also included.
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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: 2008-06-05 19:31 |
12. R package nlstools - The R package nlstools: a toolbox for nonlinear regression diagnostics
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- Development Status : 5 - Production/Stable [Filter]
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Registered: 2009-02-24 11:54 |
13. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling.
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- Development Status : 5 - Production/Stable [Filter]
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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 |
