Title: R in the Political Science Computational Laboratory, Stanford University
Description: new classes and/or methods for discrete data models; e.g., models for counts, ordinal data, item-response theory (IRT) models for binary data
Packaged: Mon May 30 21:55:09 2005; jackman

Packaged: Mon Jun 13 22:46:18 2005; jackman

Description: new classes and/or methods for discrete data models; e.g., models for counts, ordinal data, item-response theory (IRT) models for binary data, computing highest density regions
Packaged: Mon Sep  5 15:54:05 2005; jackman

Title: Political Science Computational Laboratory, Stanford University
Description: models for counts, ordinal data, item-response theory (IRT) models, computing highest density regions
Packaged: Thu Apr 27 12:44:03 2006; hornik

Author: Simon Jackman <jackman@stanford.edu>, with contributions from Alex Tahk, Christina Maimone and Jim Fearon
Description: 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; data sets used in writing and teaching at PSCL
Packaged: Wed Jul 12 08:25:55 2006; hornik

Packaged: Tue Jul 18 10:34:08 2006; tahk

Depends: R (>= 2.3.0), MASS, stats, mvtnorm, coda
Packaged: Thu Aug  3 12:46:37 2006; hornik

Packaged: Fri Aug 18 21:28:26 2006; hornik

Packaged: Wed Oct 25 12:20:26 2006; hornik

Author: Simon Jackman <jackman@stanford.edu>, with contributions from Alex Tahk, Achim Zeileis, Christina Maimone and Jim Fearon
Description: 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; data sets used in writing and teaching at the Political Science Computational Laboratory; seats-votes curves
Packaged: Wed Nov 29 10:11:58 2006; hornik

Packaged: Wed Jan 24 18:00:52 2007; root

Package: pscl
Version: 0.91
Type: Package
Date: 2007-05-11
Title: Political Science Computational Laboratory, Stanford University
Author: Simon Jackman, with contributions from
Alex Tahk, Achim Zeileis, Christina Maimone and Jim Fearon
Maintainer: Simon Jackman <jackman@stanford.edu>
Depends: R (>= 2.3.0), MASS, stats, mvtnorm, coda
Suggests: MCMCpack, car, lmtest, sandwich, zoo
Description: 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.
SaveImage: yes
License: GPL
URL: http://pscl.stanford.edu/
Packaged: Sun May 13 15:07:00 2007; hornik