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simtte  

Simulate Bespoke Time-to-Event Models Using ODEs
View on CRAN: Click here


Download and install simtte package within the R console
Install from CRAN:
install.packages("simtte")

Install from Github:
library("remotes")
install_github("cran/simtte")

Install by package version:
library("remotes")
install_version("simtte", "1.0.2")



Attach the package and use:
library("simtte")
Maintained by
Carlos Traynor
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-11
Latest Update: 2026-07-11
Description:
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.
How to cite:
Carlos Traynor (2026). simtte: Simulate Bespoke Time-to-Event Models Using ODEs. R package version 1.0.2, https://cran.r-project.org/web/packages/simtte. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-31 17:21), 1.0.1 (2026-07-11 09:50)
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Complete documentation for simtte
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Full simtte package functions and examples
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