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3 projects in result set.
0. Regression Models for Ordinal Data - This project hosts the R-package 'ordinal'. The ordinal R-package implements likelihood based models for ordinal (ordered categorical) data based on cumulative probabilities in the framework of cumulative link (mixed) models. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent (Now Filtering)
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- Programming Language : R [Filter]
- Topic : Regression Models [Filter]
- Topic : Social Sciences : Analysis of Categorical and Count Data (Now Filtering)
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Activity Percentile: 0.00
Registered: 2010-06-12 18:24 |
1. WMCapacity - The WMCapacity project implements hierarchical Bayesian models of working memory capacity, including Cowan's (2001) and Pashler's (1988) multinomial tree models. An SPSS-like GUI is provided for model building and MCMC setup. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Environment : Other Environment [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent (Now Filtering)
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Programming Language : Tcl [Filter]
- Topic : Bayesian Statistics : R Interfaces [Filter]
- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Social Sciences : Analysis of Categorical and Count Data (Now Filtering)
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Activity Percentile: 0.00
Registered: 2009-09-25 14:45 |
2. 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 [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent (Now Filtering)
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Social Sciences : Analysis of Categorical and Count Data (Now Filtering)
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Activity Percentile: 0.00
Registered: 2010-09-07 12:17 |