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:Dan Ouchi [aut, cre, cph], Alvaro Franquet [aut]

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'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.04 score 11 scripts 95 downloads 4 exports 23 dependencies

Last updated 1 years agofrom:75ec4e29b6. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-linuxOKOct 25 2024

Exports:smooth_algorithmsmooth_deparsesmooth_diffsmooth_parse

Dependencies:clicpp11dplyrfansigenericsgluelatticelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithrzoo

Introduction to Smoothy

Rendered fromintroduction-to-smoothy.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2023-08-11
Started: 2023-08-11