matthewtyler/MultiScale: Multidimensional Scaling For Binary Vote Data
Extends the EM algorithm of Imai, Lo, and Olmsted (2016) for the quadratic utility, Gaussian error-differences spatial voting model to multiple dimensions and potentially sparse data.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 0.1 |
| URL | https://github.com/matthewtyler/MultiScale |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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