Package: kcmeans
Title: Conditional Expectation Function Estimation with
        K-Conditional-Means
Version: 0.1.0
Date: 2023-11-28
Authors@R: c(
    person("Thomas", "Wiemann", role = c("aut", "cre"), email = "wiemann@uchicago.edu"))
Description: 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.
License: GPL (>= 3)
URL: https://github.com/thomaswiemann/kcmeans
BugReports: https://github.com/thomaswiemann/kcmeans/issues
Encoding: UTF-8
RoxygenNote: 7.2.3
Depends: R (>= 3.6)
Imports: stats, Ckmeans.1d.dp, MASS, Matrix
Suggests: testthat (>= 3.0.0), covr, knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-11-30 08:37:07 UTC; thomas
Author: Thomas Wiemann [aut, cre]
Maintainer: Thomas Wiemann <wiemann@uchicago.edu>
Repository: CRAN
Date/Publication: 2023-11-30 10:50:02 UTC
Built: R 4.6.0; ; 2026-04-27 08:11:39 UTC; unix
