predkmeans-package: Covariate Adaptive Clustering
In predkmeans: Covariate Adaptive Clustering
Description
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 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 documentation built on Jan. 11, 2020, 9:29 a.m.
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Description
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 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>
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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