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

On CRAN:

1 exports 1 stars 1.25 score 7 dependencies 1 dependents 5 scripts 180 downloads

Last updated 10 months agofrom:ecd07a6b4a. Checks:OK: 7. Indexed: yes.

Exports:kcmeans

Dependencies:Ckmeans.1d.dplatticeMASSMatrixrbibutilsRcppRdpack