run_flfll | R Documentation |
Generate the preparatory files required for simulation.
run_flfll( facts_file, output_path = tempfile(), log_path = output_path, n_burn = NULL, n_mcmc = NULL, n_weeks_files = 10000, n_patients_files = 10000, n_mcmc_files = 0, n_mcmc_thin = NULL, flfll_seed = NULL, flfll_offset = NULL, verbose = FALSE, max_sims = 99999L )
facts_file |
Character, name of a FACTS file.
Usually has a |
output_path |
Character, directory path to the files to generate. |
log_path |
Character, path to the log file generated by FLFLL. |
n_burn |
Number of burn-in iterations for the MCMC. |
n_mcmc |
Number of MCMC iterations used in inference. |
n_weeks_files |
Number of |
n_patients_files |
Number of |
n_mcmc_files |
Number of |
n_mcmc_thin |
Number of thinning iterations for the MCMC. |
flfll_seed |
Positive integer, random number generator seed for FLFLL.
This seed is only used for stochastic preprocessing steps for generating
the |
flfll_offset |
Integer, offset for the random number generator. |
verbose |
Logical, whether to print progress information to the R console. |
max_sims |
Positive integer of length 1, maximum number of simulations
that will be allowed to run for certain engines like CRM
in subsequent calls to the engine. If the |
For advanced control over trial simulations, you must first call
run_flfll()
and then call one of the engine functions
such as run_engine_contin()
.
run_flfll()
generates the preparatory *.param
files that the
run_engine_*()
functions understand.
You will pass these *.param
files or their parent
directory to param_files
argument of run_engine_contin()
etc.
Character, the value of output_path
.
output_path
is the directory path to the files generated by
run_flfll()
.
get_facts_file_example()
, run_engine()
, run_engine_contin()
# Can only run if system dependencies are configured: if (file.exists(Sys.getenv("RFACTS_PATHS"))) { facts_file <- get_facts_file_example("contin.facts") # example FACTS file out <- run_flfll(facts_file, verbose = FALSE) # Generate param files. # Run the simulations. run_engine( facts_file, param_files = out, n_sims = 1, verbose = FALSE ) read_patients(out) }
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