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

Documentation for package ‘simtte’ version 2.0.0

add_censoring	Apply independent right censoring to a simulated events data frame
add_interval_censoring	Map simulated event/censoring times onto an assessment-time interval
censoring_rate_for	Solve for a censoring-distribution parameter giving a target censoring fraction
draw_censoring_times	Draw independent times from a censoring/delay distribution spec
explore_pi_tq_surv	Explore Prognostic Index and Quantile Survival Times
ms_data	Simulated Data for M-Splines Model Demonstration
print.simtte_model	Print a converted PK/PD model
print.simtte_ode_sim	Print an in-solver simulation result
print.simtte_prepared_model	Print a prepared model
simtte_example_model	Load a bundled simtte example mrgsolve model
simtte_example_models	List simtte's bundled example mrgsolve models
simtte_model_cache	Where simtte builds and caches compiled models
simtte_model_cache_clear	Clear simtte's compiled-model cache
simtte_prepare_model	Prepare a model for simulation on this process, once
sim_tte	Simulate Time-to-Event Data
sim_tte_df	Simulate Time-to-Event Data from a Custom mrgsolve Output
sim_tte_ode	Simulate Time-to-Event Data via In-Solver Event Detection
sim_tte_ode_models	List sim_tte_ode()'s bundled library models
thin_visits	Thin a visit schedule with missed visits and dropout (C1)
tte_model	Convert a PK/PD mrgsolve model into a 'sim_tte_ode()'-ready model
visit_schedule	Generate a per-subject visit schedule with fixed spacing and jitter
visit_schedule_informative	Generate an outcome-informative visit schedule (C2)