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Topic :: Social Sciences :: Linear and Generalized Linear Models [Remove This Filter]
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 Topic > Regression Models
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7 projects in result set.
0. DirichletReg - Dirichlet Regression - This project implements Dirichlet regression models for the analysis of compositional data. Starting with the basic fit routines, new functions (model selection, graphics, etc.) will be added and tested here, before being submitted to CRAN.
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- Topic : Multivariate Statistics [Filter]
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Registered: 2010-09-26 14:19 |
1. afex - Analysis of Factorial Experiments - This project has the goal to provide convenience functions for analyzing factorial experiments, namely provide convenience tools for ANOVA and ANCOVA analyses with type 2 and type 3 sums of squares for classical ANOVA and lmer().
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Registered: 2012-07-26 13:10 |
2. sampleSelection: Limited Dependent Vari. - Packages for limited dependent variables: censored regression (Tobit) models (pkg censReg), interval regression models (pkg intReg), multivariate probit models (pkg mvProbit), and sample selection (Heckman) models (pkg sampleSelection)
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- Topic : Econometrics : Microeconometrics [Filter]
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Registered: 2008-09-19 09:08 |
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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Registered: 2011-05-30 16:43 |
4. 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 |
5. sensR: sensory discrimination analysis - The sensR package provides methods for (replicated) sensory discrimination methods; duotrio, triangle, 2-AFC, 3-AFC, A-not A, same-different and 2-AC. A number of models and utility methods are implemented.
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Registered: 2010-11-17 15:01 |
6. 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 |
