Package: akmedoids
Type: Package
Title: Anchored Kmedoids for Longitudinal Data Clustering
Version: 1.3.0
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.
Language: en-US
License: GPL-3
URL: https://cran.r-project.org/package=akmedoids
BugReports: https://github.com/MAnalytics/akmedoids/issues
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
Imports: kml, stats, utils, dplyr, signal, Hmisc, grDevices, ggplot2,
        clusterCrit
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, digest, gdtools, kableExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-12 23:13:25 UTC; monsu
Repository: CRAN
Date/Publication: 2021-04-13 04:50:02 UTC
Built: R 4.0.2; ; 2021-04-13 11:22:40 UTC; unix
