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) .


Reference manual

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0.1.1 by Joshua Keller, 2 years ago

Browse source code at

Authors: Joshua Keller

Documentation:   PDF Manual  

GPL-3 | file LICENSE license

Imports Rcpp, maxLik, e1071, mgcv

Linking to Rcpp, RcppArmadillo

See at CRAN