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2 projects in result set.
0. Mass at Chance models - The package provides an R implementation of Mass at Chance models (Rouder, Morey, Speckman, and Pratte,2007; Morey, Rouder, Speckman, 2008, 2009) for the analysis of subliminal priming data. |
- Development Status : 3 - Alpha (Now Filtering)
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
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Registered: 2010-09-07 12:17 |
1. Bias reduction in GLMs - brglm provides brglm.fit which is an alternative method to glm.fit that works under the usual glm interface.
Estimation is either by correcting the bias of the maximum likelihood estimates or using an adjusted-score approach to improving bias. |
- Development Status : 3 - Alpha (Now Filtering)
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- Programming Language : R [Filter]
- Topic : Regression Models [Filter]
- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2011-08-20 14:19 |