Package: smoothy 1.0.0
Dan Ouchi
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>.
Authors:
smoothy_1.0.0.tar.gz
smoothy_1.0.0.tar.gz(r-4.5-noble)smoothy_1.0.0.tar.gz(r-4.4-noble)
smoothy_1.0.0.tgz(r-4.4-emscripten)smoothy_1.0.0.tgz(r-4.3-emscripten)
smoothy.pdf |smoothy.html✨
smoothy/json (API)
NEWS
| # Install 'smoothy' in R: |
| install.packages('smoothy', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- drugstreatment - Drug Administration Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:75ec4e29b6. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 22 2025 |
| R-4.5-linux | OK | Feb 22 2025 |
Exports:smooth_algorithmsmooth_deparsesmooth_diffsmooth_parse
Dependencies:clicpp11dplyrfansigenericsgluelatticelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Drug Administration Data | drugstreatment |
| Apply Smooth Algorithm in a Dataset | smooth_algorithm |
| Deparse | smooth_deparse |
| Compute the Difference Between Initial and Smoothed Treatment | smooth_diff |
| Transform Data to be Used in 'smooth_algorithm()' Function | smooth_parse |