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:
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-4.4-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
Last updated 8 months agofrom:904eebf8b7. Checks:7 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 02 2025 |
| R-4.5-win | OK | Jan 02 2025 |
| R-4.5-linux | OK | Jan 02 2025 |
| R-4.4-win | OK | Jan 02 2025 |
| R-4.4-mac | OK | Jan 02 2025 |
| R-4.3-win | OK | Jan 02 2025 |
| R-4.3-mac | OK | Jan 02 2025 |
Exports:aalen_johansengenerate_datainc_propone_minus_kaplan_meierprop_trans_inc_densprop_trans_inc_dens_ce
Dependencies:backportscheckmatedata.tableetmlatticeMatrixrbibutilsRcppRcppArmadilloRdpacksurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Aalen Johansen Estimator | aalen_johansen |
| Generate Example Data | generate_data |
| Computing the Incidence Proportion | inc_prop |
| One Minus Kaplan-Meier | one_minus_kaplan_meier |
| Computing the Probability Transform Incidence Density | prop_trans_inc_dens |
| Probability Transform Incidence Density Accounting for Competing Events | prop_trans_inc_dens_ce |
