clustra-package: clustra-package
In clustra: Clustering Longitudinal Trajectories

clustra-package

R Documentation

clustra-package

Description

Clusters trajectories (unequally spaced and unequal length time series) on a common time axis. Clustering proceeds by an EM algorithm that iterates switching between fitting a thin plate spline (TPS) to combined responses within each cluster (M-step) and reassigning cluster membership based on the nearest fitted TPS (E-step). Initial cluster assignments are random or distant trajectories. The fitting is done with the mgcv package function bam, which scales well to very large data sets. Additional parallelism available via multicore on unix and mac platforms.

Details

This research is based on data from the Million Veteran Program, Office of Research and Development, Veterans Health Administration, and was supported by award No.~MVP000. This research used resources from the Knowledge Discovery Infrastructure (KDI) at Oak Ridge National Laboratory, which is supported by the Office of Science of the US Department of Energy under Contract No. DE-AC05-00OR22725.

This research used resources of the Compute and Data Environment for Science (CADES) at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.