EmpiricalRunner

Run replications using empirical process time distributions.

Usage

Source

EmpiricalRunner(
    config,
    time_data,
)

Methods

Name	Description
__init__()	Initialise EmpiricalRunner.
run_single()	Replace method from Runner, now with set-up for empirical dists.

---

__init__()

Initialise EmpiricalRunner.

Usage

Source

__init__(config, time_data)

config : ambdes.SimConfig Simulation configuration instance. time_data : pd.DataFrame Raw time data.

---

run_single()

Replace method from Runner, now with set-up for empirical dists.

Usage

Source

run_single(run_number)

Parameters

run_number: int

Used to set up SeedSequence which is used when initialising the empirical distributions.

Returns

dict

Dictionary with two DataFrames:

• “patients”: per-patient results for the run.
• “run”: summary of results for run by response category.