Package: akmedoids
Type: Package
Title: Anchored Kmedoids for Longitudinal Data Clustering
Version: 0.1.5
Date: 2020-01-09
Author: Monsuru Adepeju [cre, aut], Samuel Langton [aut], Jon Bannister [aut]
Maintainer: Monsuru Adepeju <monsuur2010@yahoo.com>
Description: 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.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: kml, Hmisc, ggplot2, utils, reshape2, longitudinalData, stats,
        signal
RoxygenNote: 7.0.1
Suggests: knitr, rmarkdown, flextable, kableExtra, clusterCrit
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-09 15:03:38 UTC; monsu
Repository: CRAN
Date/Publication: 2020-01-10 00:30:06 UTC
