kcmeans
Conditional Expectation Function Estimation with K-Conditional-Means
Implementation of the KCMeans regression estimator studied by Wiemann (2023) doi:10.48550/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.
- Version0.1.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release11/30/2023
Documentation
Team
Thomas Wiemann
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests4 packages
- Reverse Imports1 package