Simulate Time-to-Event Data from PK/PD and Bespoke ODE Models

Simulates time-to-event (survival) datasets for clinical trial design and analysis, including datasets driven by a joint pharmacokinetic/pharmacodynamic (PK/PD) model solved via the 'mrgsolve' backend. Event times can be located directly during ODE integration ('in-solver' event detection) using a library of built-in PK/PD hazard models or a user-supplied 'mrgsolve' model converted for this purpose, or generated by inverse transform sampling from a closed-form Weibull or flexible M-spline baseline hazard, or from any externally simulated survival trajectory. See Bender et al. (2005) for the inverse transform sampling methodology and Royston and Parmar (2002) for flexible parametric survival models.


Reference manual

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install.packages("simtte")

2.0.0 by Carlos Traynor, 7 days ago


https://github.com/csetraynor/simtte


Report a bug at https://github.com/csetraynor/simtte/issues


Browse source code at https://github.com/cran/simtte


Authors: Carlos Traynor [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports dplyr, magrittr, methods, mrgsolve, tools

Suggests callr, testthat, knitr, pkgload, rmarkdown, splines2, survival


See at CRAN