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clustra
View on CRAN: Click
here
Download and install clustra package within the R console
Install from CRAN:
install.packages("clustra")
Install from Github:
library("remotes")
install_github("cran/clustra") Install by package version:
library("remotes")
install_version("clustra", "0.2.1") Attach the package and use:
library("clustra")
Maintained by
George Ostrouchov
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-22
Latest Update: 2024-01-10
Description:
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.
How to cite:
George Ostrouchov (2021). clustra: Clustering Longitudinal Trajectories. R package version 0.2.1, https://cran.r-project.org/web/packages/clustra. Accessed 05 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for clustra
Functions, R codes and Examples using
the clustra R package
Some associated functions: allpair_RandIndex . bp10k . check_df . clustra-package . clustra . clustra_rand . clustra_sil . deltime . gen_traj_data . gendata . ic_fun . kchoose . mse_g . oneid . plot_sample . plot_silhouette . plot_smooths . pred_g . rand_plot . start_groups . tps_g . traj_rep . trajectories . xit_report .
Some associated R codes: clustra-package.R . data.R . evaluate.R . generate.R . graphics.R . trajectories.R . Full clustra package functions and examples
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