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kcmeans: Conditional Expectation Function Estimation with K-Conditional-Means
Implementation of the KCMeans regression estimator studied by Wiemann (2023) <arXiv:2311.17021> for expectation function estimation conditional on categorical variables. Computation leverages the unconditional KMeans implementation in one dimension using dynamic programming algorithm of Wang and Song (2011) <doi:10.32614/RJ-2011-015>, allowing for global solutions in time polynomial in the number of observed categories.
Getting started
Browse package contents
Package details |
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| Author | Thomas Wiemann [aut, cre] |
| Maintainer | Thomas Wiemann <wiemann@uchicago.edu> |
| License | GPL (>= 3) |
| Version | 0.1.0 |
| URL | https://github.com/thomaswiemann/kcmeans |
| Package repository | View on CRAN |
| Installation |
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