predkmeans: Covariate Adaptive Clustering

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) <doi:10.1214/16-AOAS992>.

Version: 0.1.0
Imports: Rcpp (≥ 0.11.5), maxLik, e1071, mgcv
LinkingTo: Rcpp, RcppArmadillo
Published: 2017-11-09
Author: Joshua Keller
Maintainer: Joshua Keller <jkelle46 at>
License: GPL-3 | file LICENSE
NeedsCompilation: yes
CRAN checks: predkmeans results


Reference manual: predkmeans.pdf
Package source: predkmeans_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: predkmeans_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: predkmeans_0.1.0.tgz


Please use the canonical form to link to this page.