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smoothy: Automatic Estimation of the Most Likely Drug Combination using Smooth Algorithm

A flexible moving average algorithm for modeling drug exposure in pharmacoepidemiology studies as presented in the article: Ouchi, D., Giner-Soriano, M., Gómez-Lumbreras, A., Vedia Urgell, C.,Torres, F., & Morros, R. (2022). "Automatic Estimation of the Most Likely Drug Combination in Electronic Health Records Using the Smooth Algorithm : Development and Validation Study." JMIR medical informatics, 10(11), e37976. <doi:10.2196/37976>.

Version: 1.0.0
Depends: R (≥ 4.3)
Imports: dplyr, tidyr (≥ 1.3.0), zoo (≥ 1.8), stringr
Suggests: knitr, rmarkdown, ggplot2, gridExtra
Published: 2023-08-11
DOI: 10.32614/CRAN.package.smoothy
Author: Dan Ouchi ORCID iD [aut, cre, cph], Alvaro Franquet ORCID iD [aut]
Maintainer: Dan Ouchi <dan.ouchi.vernet at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: smoothy results

Documentation:

Reference manual: smoothy.pdf
Vignettes: introduction-to-smoothy

Downloads:

Package source: smoothy_1.0.0.tar.gz
Windows binaries: r-devel: smoothy_1.0.0.zip, r-release: smoothy_1.0.0.zip, r-oldrel: smoothy_1.0.0.zip
macOS binaries: r-release (arm64): smoothy_1.0.0.tgz, r-oldrel (arm64): smoothy_1.0.0.tgz, r-release (x86_64): smoothy_1.0.0.tgz, r-oldrel (x86_64): smoothy_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=smoothy to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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