CRAN/E | clustra

clustra

Clustering Longitudinal Trajectories

Installation

About

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.

Key Metrics

Version 0.2.1
R ≥ 3.5.0
Published 2024-01-10 109 days ago
Needs compilation? no
License BSD 2-clause License
License File
CRAN checks clustra results

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Maintainer

Maintainer

George Ostrouchov

go@tennessee.edu

Authors

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)

Material

README
NEWS
Reference manual
Package source

Vignettes

clustra: Graphics with BP Data
clustra: clustering trajectories

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

clustra archive

Depends

R ≥ 3.5.0

Imports

data.table
graphics
grDevices
methods
mgcv
MixSim
parallel
stats

Suggests

haven
knitr
rmarkdown