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json2ciw
Publicstars
Publicdes_rap_book
Publicintro-open-sim
Publicpydesrap_mms
Public templateReproducible analytical pipeline (RAP) for Python discrete-event simulation (DES) implementing an M/M/s queueing model.stars-logo
Publicllm_simpy_models
Publicpydesrap_stroke
PublicReproducible analytical pipeline (RAP) for Python discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.rdesrap_stroke
PublicReproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.rdesrap_mms
Public templateReproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing an M/M/s queueing model.rdesrap_template
Public templatepydesrap_template
Public templatestars-stlite-example
Publicllm_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.stars-reproduce-lim-2020
PublicAssessing the computational reproducibility of Lim et al. 2020 as part of STARS.- Assessing the computational reproducibility of Huang et al. 2019 as part of STARS.
- Assessing the computational reproducibility of Hernandez et al. 2015 as part of STARS.