CRAN/E | kcmeans

kcmeans

Conditional Expectation Function Estimation with K-Conditional-Means

Installation

About

Implementation of the KCMeans regression estimator studied by Wiemann (2023) 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.

github.com/thomaswiemann/kcmeans
Bug report File report

Key Metrics

Version 0.1.0
R ≥ 3.6
Published 2023-11-30 289 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks kcmeans results

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Maintainer

Maintainer

Thomas Wiemann

[email protected]

Authors

Thomas Wiemann

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Get Started

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.6

Imports

stats
Ckmeans.1d.dp
MASS
Matrix

Suggests

testthat ≥ 3.0.0
covr
knitr
rmarkdown