Package: kcmeans 0.1.0.9000

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.

Authors:Thomas Wiemann [aut, cre]

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kcmeans.pdf |kcmeans.html✨
kcmeans/json (API)
NEWS

# Install 'kcmeans' in R:

install.packages('kcmeans', repos = c('https://thomaswiemann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/thomaswiemann/kcmeans/issues

On CRAN:

4.95 score 2 stars 1 packages 5 scripts 137 downloads 1 exports 7 dependencies

Last updated 12 months agofrom:ecd07a6b4a. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 29 2024
R-4.5-win	OK	Oct 29 2024
R-4.5-linux	OK	Oct 29 2024
R-4.4-win	OK	Oct 29 2024
R-4.4-mac	OK	Oct 29 2024
R-4.3-win	OK	Oct 29 2024
R-4.3-mac	OK	Oct 29 2024