Clustering Longitudinal Trajectories R package clustra version 0.2.1 Clusters longitudinal trajectories over time (can be unequally spaced, unequal length time series and/or partially overlapping series) on a common time axis. Performs k-means clustering on a single continuous variable measured over time, where each mean is defined by a thin plate spline fit to all points in a cluster. Distance is MSE across trajectory points to cluster spline. Provides graphs of derived cluster splines, silhouette plots, and Adjusted Rand Index evaluations of the number of clusters. Scales well to large data with multicore parallelism available to speed computation. Software Depends: R (>= 3.5.0) Imports: data.table, graphics, grDevices, methods, mgcv, MixSim, parallel, stats Suggests: haven, knitr, rmarkdown George Ostrouchov <go@tennessee.edu> Comprehensive R Archive Network (CRAN) George Ostrouchov [aut, cre], David Gagnon [aut], Hanna Gerlovin [aut], Chen Wei-Chen [ctb], Schmidt Drew [ctb], Oak Ridge National Laboratory [cph], U.S. Department of Veteran's Affairs [fnd] (Project: Million Veteran Program Data Core) BSD 2-clause License + file LICENSE (https://CRAN.R-project.org/package=clustra/LICENSE) 2024-01-10 application/tgz https://CRAN.R-project.org/package=clustra doi:10.32614/CRAN.package.clustra