setTimeCourseSettings
sets time course task settings including method options.
setTimeCourseSettings(
duration = NULL,
dt = NULL,
intervals = NULL,
automatic_intervals = NULL,
suppress_output_before = NULL,
output_events = NULL,
save_result_in_memory = NULL,
start_in_steady_state = NULL,
update_model = NULL,
executable = NULL,
method = NULL,
model = getCurrentModel()
)
setTC(
duration = NULL,
dt = NULL,
intervals = NULL,
automatic_intervals = NULL,
suppress_output_before = NULL,
output_events = NULL,
save_result_in_memory = NULL,
start_in_steady_state = NULL,
update_model = NULL,
executable = NULL,
method = NULL,
model = getCurrentModel()
)
The time course duration, as number.
The time course output step size, as number.
The time course step count, as count.
Overwrites dt
in case of conflict.
Whether to use automatic intervals, as flag.
Whether to suppress before a certain time point, as number.
Whether to output events as additional steps, as flag.
Whether to generate an output data frame for the time course, as flag.
Whether to first go to steady state before running the time course, as flag.
Whether to update the model with the state resulting from the time course, as flag.
flag
string or list
Set the method directly with a string or with a list containing the entry named `method`.
The list may contain further method arguments and their values.
Available methods: 'deterministic', 'RADAU5', 'stochastic', 'directMethod', 'tauLeap', 'adaptiveSA', 'hybrid', 'hybridLSODA', 'hybridODE45', 'stochasticRunkeKuttaRI5'.
A model object.
The online article on managing tasks provides some further context.
Other time course:
getTimeCourseSettings()
,
runTimeCourse()