Releases: pythonhealthdatascience/stars-simpy-example-docs
v1.1.2
Towards Sharing Tools and Artifacts for Reusable Simulation: example enhanced documentation for a simpy
model.
The materials and methods in this repository support work towards developing the S.T.A.R.S healthcare framework (Sharing Tools and Artifacts for Reusable Simulations in healthcare). The code and written materials here demonstrate the application of S.T.A.R.S' version 1 to sharing a simpy
discrete-event simuilation model and associated research artifacts.
- All artifacts in this repository are linked to study researchers via ORCIDs;
- Model code is made available under a MIT license;
- Python dependencies are managed through
conda
;` - The python code itself can be viewed and executed in Jupyter notebooks via Binder;
- The model is documented and explained in a Jupyter book website served up by GitHub pages;
- The materials are deposited and made citatable using Zenodo;
- The models are sharable with other researchers and the NHS without the need to install software.
Changes:
- PATCH: Pathway sampling now correctly uses
self.args
to select distributions.
v1.1.1
Towards Sharing Tools and Artifacts for Reuable Simulation: example enhanced documentation for a simpy
model.
The materials and methods in this repository support work towards developing the S.T.A.R.S healthcare framework (Sharing Tools and Artifacts for Reusable Simulations in healthcare). The code and written materials here demonstrate the application of S.T.A.R.S' version 1 to sharing a simpy
discrete-event simuilation model and associated research artifacts.
- All artifacts in this repository are linked to study researchers via ORCIDs;
- Model code is made available under a MIT license;
- Python dependencies are managed through
conda
;` - The python code itself can be viewed and executed in Jupyter notebooks via Binder;
- The model is documented and explained in a Jupyter book website served up by GitHub pages;
- The materials are deposited and made citatable using Zenodo;
- The models are sharable with other researchers and the NHS without the need to install software.
Changes:
- PATCH: Trauma patient treatment fixed to use the correct sampling distribution (mistakenly using stabilisation).
v1.1.0
Towards Sharing Tools and Artifacts for Reuable Simulation: example enhanced documentation for a simpy
model.
The materials and methods in this repository support work towards developing the S.T.A.R.S healthcare framework (Sharing Tools and Artifacts for Reusable Simulations in healthcare). The code and written materials here demonstrate the application of S.T.A.R.S' version 1 to sharing a simpy
discrete-event simuilation model and associated research artifacts.
- All artifacts in this repository are linked to study researchers via ORCIDs;
- Model code is made available under a MIT license;
- Python dependencies are managed through
conda
;` - The python code itself can be viewed and executed in Jupyter notebooks via Binder;
- The model is documented and explained in a Jupyter book website served up by GitHub pages;
- The materials are deposited and made citatable using Zenodo;
- The models are sharable with other researchers and the NHS without the need to install software.