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predkmeans  

Covariate Adaptive Clustering
View on CRAN: Click here


Download and install predkmeans package within the R console
Install from CRAN:
install.packages("predkmeans")

Install from Github:
library("remotes")
install_github("cran/predkmeans")

Install by package version:
library("remotes")
install_version("predkmeans", "0.1.1")



Attach the package and use:
library("predkmeans")
Maintained by
Joshua Keller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-09
Latest Update:
Description:
Implements the predictive k-means method for clustering observations, using a mixture of experts model to allow covariates to influence cluster centers. Motivated by air pollution epidemiology settings, where cluster membership needs to be predicted across space. Includes functions for predicting cluster membership using spatial splines and principal component analysis (PCA) scores using either multinomial logistic regression or support vector machines (SVMs). For method details see Keller et al. (2017) .
How to cite:
Joshua Keller (2017). predkmeans: Covariate Adaptive Clustering. R package version 0.1.1, https://cran.r-project.org/web/packages/predkmeans. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2017-11-09 19:48), 0.1.1 (2019-12-17 00:50)
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Complete documentation for predkmeans
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