swissMrP-package: Multilevel Regression and Post-Stratification for Switzerland
In swissMrP: Multilevel Regression with Post-Stratification for Switzerland
Description
Details
Note
Author(s)
References
Description
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.
Details
Package: swissMrP
Type: Package
Version: 0.1
Date: 2013-09-10
License: GLP-2
Note
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.
Author(s)
Lucas Leemann lleemann@gmail.com
References
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. 2013. Direct Democracy, Representation, and Policy Congruence. Presented at the General Conference of the European Political Science Association Barcelona: June 20-22.
swissMrP documentation built on May 2, 2019, 4:59 p.m.
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Description Details Note Author(s) References
Description
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.
Details
| Package: | swissMrP |
| Type: | Package |
| Version: | 0.1 |
| Date: | 2013-09-10 |
| License: | GLP-2 |
Note
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.
Author(s)
Lucas Leemann lleemann@gmail.com
References
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. 2013. Direct Democracy, Representation, and Policy Congruence. Presented at the General Conference of the European Political Science Association Barcelona: June 20-22.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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