opioidData

<p>A dataset containing estimated opioid dispensing rate per 100 persons in United States, 2006-2020.</p>

datasets

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<c2><b4><c4><b1>rez, 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>.

Elin Cho

ihclust

Iterative Hierarchical Clustering (IHC)

Yuting Xu

Jaejoon Song

opioidData function

<p>data.frame; columns: fips = FIPS county code, State = State, County = County,
X2006-X2020 = estimated opioid dispensing rate per 100 persons in each year</p>

opioidData: Opioid Dispensing Rates

Description

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