Package: simtte 1.0.1
simtte: Simulate Time-to-Event Data Using Weibull and Spline Models
Simulates time-to-event (survival) datasets for clinical trial design and analysis. Supports Weibull and flexible M-spline baseline hazard models via the 'mrgsolve' ordinary differential equation solver backend. Implements inverse transform sampling from cumulative hazard functions to generate event times. See Bender et al. (2005) <doi:10.1002/sim.2059> for the inverse transform sampling methodology and Royston and Parmar (2002) <doi:10.1002/sim.1203> for flexible parametric survival models.
Authors:
simtte_1.0.1.tar.gz
simtte_1.0.1.tar.gz(r-4.7-any)simtte_1.0.1.tar.gz(r-4.6-any)
simtte_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
simtte/json (API)
| # Install 'simtte' in R: |
| install.packages('simtte', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/csetraynor/simtte/issues
- ms_data - Simulated Data for M-Splines Model Demonstration
Last updated from:e0ed3fcc6b. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 152 | ||
| source / vignettes | OK | 205 | ||
| linux-release-x86_64 | OK | 153 | ||
| wasm-release | OK | 120 |
Exports:%>%explore_pi_tq_survsim_ttesim_tte_df
Dependencies:BHclidplyrgenericsgluelifecyclemagrittrmrgsolvepillarpkgconfigR6RcppRcppArmadillorlangtibbletidyselectutf8vctrswithr
Last update: 2026-07-11
Started: 2026-07-11
Last update: 2026-07-11
Started: 2026-07-11
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Explore Prognostic Index and Quantile Survival Times | explore_pi_tq_surv |
| Simulated Data for M-Splines Model Demonstration | ms_data |
| Simulate Time-to-Event Data | sim_tte |
| Simulate Time-to-Event Data from a Custom mrgsolve Output | sim_tte_df |
