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predkmeans
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]
[Scholar Profile | Author Map]
First Published: 2017-11-09
Latest Update: 2019-12-16
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 03 May. 2025.
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Complete documentation for predkmeans
Functions, R codes and Examples using
the predkmeans R package
Some associated functions: assignCluster . createCVgroups . createPCAmodelmatrix . createTPRSmodelmatrix . mlogit . predictML.predkmeans . predictionMetrics . predkmeans-package . predkmeans . predkmeansCVest . relevel.predkmeans .
Some associated R codes: RcppExports.R . functions_aux.R . functions_cv.R . functions_mlogit.R . functions_predict.R . functions_predkmeans.R . predkmeans.R . Full predkmeans package functions and examples
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