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Description

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>.

predkmeans

CRANStatus

R Package for implementing the predictive k-means method.

Clusters multivariate exposures, 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 PCA scores using either multinomial logistic regression or SVMs. For method details see Keller et al. (2017) doi:10.1214/16-AOAS992

Metadata

Version

0.1.1

License

Unknown

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