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-4.7-any)smoothy_1.0.0.tar.gz(r-4.6-any)
smoothy_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
smoothy/json (API)
| # 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 from:75ec4e29b6. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 130 | ||
| source / vignettes | OK | 192 | ||
| linux-release-x86_64 | OK | 133 | ||
| wasm-release | OK | 114 |
Exports:smooth_algorithmsmooth_deparsesmooth_diffsmooth_parse
Dependencies:clicpp11dplyrgenericsgluelatticelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithrzoo
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 |