Description Details Note Author(s) References
This package provides a number of useful functions to employ MrP for small area prediction in Switzerland. Based on a hierarchical model (based itself on survey data) one can derive cantonal preference measures. The package allows to automatize the prediction and post-stratification steps. It further provides adequate print, summary, map, and plot functions for objects of its class.
Package: | swissMrP |
Type: | Package |
Version: | 0.1 |
Date: | 2018-26-05 |
License: | GLP-2 |
This package was originally written for students of the University of Zurich (Fall 2013). The functions and data make this package a useful resource for anybody implementing MrP on Swiss data.
Lucas Leemann lleemann@gmail.com
Gelman, Andrew and Thomas C. Little. 1997. Poststratification Into Many Categories Using Hierarchical Logistic Regression. Survey Research 23:127-135.
Jeffrey Lax and Justin Phillips. 2009. How Should We Estimate Public Opinion in The States? American Journal of Political Science 53 (1), 107-121.
Leemann, Lucas and Fabio Wasserfallen. 2016. The Democratic Effect of Direct Democracy. American Political Science Review 110(4): 750-762.
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