Package: simtte 1.0.1

Carlos Traynor

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:Carlos Traynor [aut, cre]

simtte_1.0.1.tar.gz
simtte_1.0.1.zip(r-4.7)simtte_1.0.1.zip(r-4.6)simtte_1.0.1.zip(r-4.5)
simtte_1.0.1.tgz(r-4.6-any)simtte_1.0.1.tgz(r-4.5-any)
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://csetraynor.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/csetraynor/simtte/issues

Datasets:
  • ms_data - Simulated Data for M-Splines Model Demonstration

On CRAN:

Conda:

4.48 score 4 exports 19 dependencies

Last updated from:576c1dff11. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK144
source / vignettesOK317
linux-release-x86_64OK146
macos-release-arm64OK186
macos-oldrel-arm64OK130
windows-develOK107
windows-releaseOK109
windows-oldrelOK88
wasm-releaseOK117

Exports:%>%explore_pi_tq_survsim_ttesim_tte_df

Dependencies:BHclidplyrgenericsgluelifecyclemagrittrmrgsolvepillarpkgconfigR6RcppRcppArmadillorlangtibbletidyselectutf8vctrswithr

Advanced Simulation Scenarios
Exploring the Prognostic Index | Visualisation | Custom mrgsolve Models with sim_tte_df | Multiple Treatment Arms
Rendered fromadvanced-usage.Rmdusingknitr::rmarkdown

Last update: 2026-05-15
Started: 2026-05-15

Getting Started with simtte
Introduction | Statistical Framework | Weibull Model | M-Spline Model | Inverse Transform Sampling | Basic Workflow | Weibull Example | M-Splines Example | Output Structure | References
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2026-05-15
Started: 2026-05-15