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
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: simtte_1.0.1.zip, r-release: simtte_1.0.1.zip, r-oldrel: simtte_1.0.1.zip
macOS binaries:	r-release (arm64): simtte_1.0.1.tgz, r-oldrel (arm64): simtte_1.0.1.tgz, r-release (x86_64): simtte_1.0.1.tgz, r-oldrel (x86_64): simtte_1.0.1.tgz

Linking:

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