akmedoids: Anchored Kmedoids for Longitudinal Data Clustering

Advances a novel adaptation of longitudinal k-means clustering technique (Genolini et al. (2015) <doi:10.18637/jss.v065.i04>) 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) <doi:10.1080/03610927408827101>). Includes functions to extract descriptive statistics and generate a visualisation of the resulting groups, drawing methods from the 'ggplot2' library (Wickham H. (2016) <doi:10.1007/978-3-319-24277-4>). The package also includes a number of other useful functions for exploring and manipulating longitudinal data prior to the clustering process.

Version: 1.3.0
Depends: R (≥ 3.5.0)
Imports: kml, stats, utils, dplyr, signal, Hmisc, grDevices, ggplot2, clusterCrit
Suggests: knitr, rmarkdown, digest, gdtools, kableExtra
Published: 2021-04-13
Author: Monsuru Adepeju [cre, aut], Samuel Langton [aut], Jon Bannister [aut]
Maintainer: Monsuru Adepeju <monsuur2010 at yahoo.com>
BugReports: https://github.com/MAnalytics/akmedoids/issues
License: GPL-3
URL: https://cran.r-project.org/package=akmedoids
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: akmedoids results

Downloads:

Reference manual: akmedoids.pdf
Vignettes: A guide to measuring long-term inequality in the exposure to crime at micro-area levels using 'Akmedoids' package
Package source: akmedoids_1.3.0.tar.gz
Windows binaries: r-devel: akmedoids_1.3.0.zip, r-release: akmedoids_1.3.0.zip, r-oldrel: akmedoids_1.3.0.zip
macOS binaries: r-release: akmedoids_1.3.0.tgz, r-oldrel: akmedoids_1.3.0.tgz
Old sources: akmedoids archive

Reverse dependencies:

Reverse suggests: latrend

Linking:

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