akmedoids (0.1.5)

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Anchored Kmedoids for Longitudinal Data Clustering.


Advances a novel adaptation of longitudinal k-means clustering technique (Genolini et al. (2015) ) for grouping trajectories based on the similarities of their long-term trends and determines the optimal solution based on either the average silhouette width (Rousseeuw P. J. 1987) or the Calinski-Harabatz criterion (Calinski and Harabatz (1974) ). Includes functions to extract descriptive statistics and generate a visualisation of the resulting groups, drawing methods from the 'ggplot2' library (Wickham H. (2016) ). The package also includes a number of other useful functions for exploring and manipulating longitudinal data prior to the clustering process.

Maintainer: Monsuru Adepeju
Author(s): Monsuru Adepeju [cre, aut], Samuel Langton [aut], Jon Bannister [aut]

License: GPL-3

Uses: ggplot2, Hmisc, kml, longitudinalData, reshape2, signal, knitr, clusterCrit, rmarkdown, kableExtra, flextable

Released 12 days ago.

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