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.

Version: 1.0.1
Depends: R (≥ 4.0.0)
Imports: dplyr, magrittr, mrgsolve
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-07-11
DOI: 10.32614/CRAN.package.simtte (may not be active yet)
Author: Carlos Traynor [aut, cre]
Maintainer: Carlos Traynor <carlos.traynor.qcp at gmail.com>
BugReports: https://github.com/csetraynor/simtte/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/csetraynor/simtte
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: simtte results

Documentation:

Reference manual: simtte.html , simtte.pdf
Vignettes: Advanced Simulation Scenarios (source, R code)
Getting Started with simtte (source, R code)

Downloads:

Package source: simtte_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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