ihclust: Iterative Hierarchical Clustering (IHC)

Provides a set of tools to i) identify geographic areas with significant change over time in drug utilization, and ii) characterize common change over time patterns among the time series for multiple geographic areas. For reference, see below: 1. Song, J., Carey, M., Zhu, H., Miao, H., Ram´ırez, J. C., & Wu, H. (2018) <doi:10.1504/IJCBDD.2018.10011910> 2. Wu, S., Wu, H. (2013) <doi:10.1186/1471-2105-14-6> 3. Carey, M., Wu, S., Gan, G. & Wu, H. (2016) <doi:10.1016/j.idm.2016.07.001>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: factoextra, splines, ggplot2, foreach, doParallel, parallel
Published: 2022-04-27
Author: Elin Cho [aut, cre], Yuting Xu [aut], Jaejoon Song [aut]
Maintainer: Elin Cho <elincho524 at gmail.com>
License: GNU General Public License (≥ 3)
NeedsCompilation: no
CRAN checks: ihclust results


Reference manual: ihclust.pdf


Package source: ihclust_0.1.0.tar.gz
Windows binaries: r-devel: ihclust_0.1.0.zip, r-release: ihclust_0.1.0.zip, r-oldrel: ihclust_0.1.0.zip
macOS binaries: r-release (arm64): ihclust_0.1.0.tgz, r-oldrel (arm64): ihclust_0.1.0.tgz, r-release (x86_64): ihclust_0.1.0.tgz, r-oldrel (x86_64): ihclust_0.1.0.tgz


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