Package: savvyr 0.1.1

Thomas Kuenzel

savvyr: Survival Analysis for AdVerse Events with VarYing Follow-Up Times

The SAVVY (Survival Analysis for AdVerse Events with VarYing Follow-Up Times) project is a consortium of academic and pharmaceutical industry partners that aims to improve the analyses of adverse event (AE) data in clinical trials through the use of survival techniques appropriately dealing with varying follow-up times and competing events, see Stegherr, Schmoor, Beyersmann, et al. (2021) <doi:10.1186/s13063-021-05354-x>. Although statistical methodologies have advanced, in AE analyses often the incidence proportion, the incidence density or a non-parametric Kaplan-Meier estimator are used, which either ignore censoring or competing events. This package contains functions to easily conduct the proposed improved AE analyses.

Authors:Thomas Kuenzel [aut, cre], Kaspar Rufibach [aut], Regina Stegherr [aut], Daniel Sabanés Bové [aut], F. Hoffmann-La Roche AG [cph, fnd], Universität Ulm [cph, fnd]

savvyr_0.1.1.tar.gz
savvyr_0.1.1.zip(r-4.5)savvyr_0.1.1.zip(r-4.4)savvyr_0.1.1.zip(r-4.3)
savvyr_0.1.1.tgz(r-4.5-any)savvyr_0.1.1.tgz(r-4.4-any)savvyr_0.1.1.tgz(r-4.3-any)
savvyr_0.1.1.tar.gz(r-4.5-noble)savvyr_0.1.1.tar.gz(r-4.4-noble)
savvyr_0.1.1.tgz(r-4.4-emscripten)savvyr_0.1.1.tgz(r-4.3-emscripten)
savvyr.pdf |savvyr.html
savvyr/json (API)
NEWS

# Install 'savvyr' in R:
install.packages('savvyr', repos = c('https://openpharma.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/openpharma/savvyr/issues

Pkgdown site:https://openpharma.github.io

On CRAN:

Conda-Forge:

4.90 score 4 stars 1 scripts 165 downloads 6 exports 11 dependencies

Last updated 9 months agofrom:904eebf8b7. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-winOKMar 03 2025
R-4.5-macOKMar 03 2025
R-4.5-linuxOKMar 03 2025
R-4.4-winOKMar 03 2025
R-4.4-macOKMar 03 2025
R-4.3-winOKMar 03 2025
R-4.3-macOKMar 03 2025

Exports:aalen_johansengenerate_datainc_propone_minus_kaplan_meierprop_trans_inc_densprop_trans_inc_dens_ce

Dependencies:backportscheckmatedata.tableetmlatticeMatrixrbibutilsRcppRcppArmadilloRdpacksurvival

Introduction to savvyr

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Mar 03 2025.

Last update: 2024-02-16
Started: 2024-02-16