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quarto-tutorial
Public- Reproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing an M/M/s queueing model.
pydesrap_mms
Public templateReproducible analytical pipeline (RAP) for Python discrete-event simulation (DES) implementing an M/M/s queueing model.des_rap_book
Publicquarto-template
Public templatestars
Publicstars-testing-intro
Publicintro-open-sim
Publicstars-stlite-example
Publicstars-streamlit-example
PublicSTARS Project: deploying a python DES model using streamlitstars-treat-sim
PublicImplementation of python package for Nelson's (2013) treatment centre modelrdesrap_stroke
PublicReproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.pydesrap_stroke
PublicReproducible analytical pipeline (RAP) for Python discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.stars-logo
Publicllm_simpy_models
Publicrdesrap_template
Public templatepydesrap_template
Public templatellm_simpy
Public.github
Publicstars_wp1_summary
Publicidentify_bias
Publicstars_wp4_presentation
Publicscope_wsc_2025
Publicgw4_prize_presentation
Publicstars-ciw-example
PublicA treatment simulation model implemented in CiW- Assessing the computational reproducibility of Anagnostou et al. 2022 as part of STARS.
- Assessing the computational reproducibility of Shoaib and Ramamohan 2022 as part of STARS.
- Assessing the computational reproducibility of Wood et al. 2021 as part of STARS.
- Assessing the computational reproducibility of Johnson et al. 2021 as part of STARS.
stars-reproduce-kim-2021
PublicAssessing the computational reproducibility of Kim et al. 2021 as part of STARS.