Package: ihclust 0.1.0

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>.

Authors:Elin Cho [aut, cre], Yuting Xu [aut], Jaejoon Song [aut]

ihclust_0.1.0.tar.gz
ihclust_0.1.0.zip(r-4.7-any)ihclust_0.1.0.zip(r-4.6-any)ihclust_0.1.0.zip(r-4.5-any)
ihclust_0.1.0.tgz(r-4.6-any)ihclust_0.1.0.tgz(r-4.5-any)
ihclust_0.1.0.tar.gz(r-4.7-any)ihclust_0.1.0.tar.gz(r-4.6-any)
ihclust_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ihclust/json (API)

# Install 'ihclust' in R:

install.packages('ihclust', repos = c('https://elincho.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/elincho/ihclust/issues

Datasets:

opioidData - Opioid Dispensing Rates

On CRAN:

2.70 score 1 scripts 301 downloads 3 exports 125 dependencies

Last updated from:5e88f0c15d. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	WARNING	174
source / vignettes	OK	242
linux-release	WARNING	151
macos-release	WARNING	140
macos-oldrel	WARNING	149
windows-devel	WARNING	99
windows-release	WARNING	104
windows-oldrel	WARNING	106
wasm-release	OK	130