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 |
| Maintainer: | Dan Ouchi <dan.ouchi.vernet at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | smoothy results |
| Reference manual: | smoothy.html , smoothy.pdf |
| Vignettes: |
introduction-to-smoothy (source, R code) |
| 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 |
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