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predkmeans

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

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Install

install.packages('predkmeans')

Monthly Downloads

51

Version

0.1.1

License

GPL-3 | file LICENSE

Maintainer

Joshua Keller

Last Published

December 16th, 2019

Functions in predkmeans (0.1.1)

createPCAmodelmatrix

Create Principal Component Analysis (PCA) scores matrix
createTPRSmodelmatrix

Create matrix of Thin-Plate Regression Splines (TPRS)
predictML.predkmeans

Prediction of Cluster Membership
mlogit

Multinomial Logistic Regression
assignCluster

Make Cluster Assignments
createCVgroups

Creating k-fold Cross-Validation Groups
relevel.predkmeans

Re-order cluster labels
predkmeansCVest

Cross-validation of Predictive K-means Clustering
predkmeans

Predictive K-means Clustering
predictionMetrics

Measures of Prediction Performance
predkmeans-package

Covariate Adaptive Clustering