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>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: smoothy results


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


Package source: smoothy_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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