pscl: Political Science Computational Laboratory, Stanford University Bayesian analysis of item-response theory (IRT) models, roll call analysis; computing highest density regions; maximum likelihood estimation of zero-inflated and hurdle models for count data; goodness-of-fit measures for GLMs; data sets used in writing and teaching at the Political Science Computational Laboratory; seats-votes curves.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Tutz, Gerhard; Schmid, Matthias: Modeling discrete time-to-event data (2016)
- Wilson, Paul: The misuse of the Vuong test for non-nested models to test for zero-inflation (2015)
- Schlittgen, Rainer: Regression analyses with R (2013)
- Loeys, Tom; Moerkerke, Beatrijs; De Smet, Olivia; Buysse, Ann: The analysis of zero-inflated count data: beyond zero-inflated Poisson regression. (2012)