Package: kcmeans
Title: Conditional Expectation Function Estimation with
        K-Conditional-Means
Version: 0.1.0.9000
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
Roxygen: list(markdown = TRUE)
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
Repository: https://thomaswiemann.r-universe.dev
Date/Publication: 2023-11-30 13:58:10 UTC
RemoteUrl: https://github.com/thomaswiemann/kcmeans
RemoteRef: HEAD
RemoteSha: ecd07a6b4a30f7bf91ad62ec94e99b4cdfc2600c
NeedsCompilation: no
Packaged: 2026-07-07 08:49:14 UTC; root
Author: Thomas Wiemann [aut, cre]
Maintainer: Thomas Wiemann <wiemann@uchicago.edu>