Discrete Event Simulation in RSimmer of Ambulance Job Cycle Times
R Simmer implemention of the treatment simulation model
Reproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.
Openclaw Polymarket weather trading bot with bonding + tail strategies. openclaw polymarket weather trading ai agent
Reproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing an M/M/s queueing model.
Assessing the computational reproducibility of Huang et al. 2019 as part of STARS.
Automate Polymarket weather trades with Kelly sizing, NWS forecast scans, and trade simulation for temperature market edge
This project simulates a bank’s queuing system using R to evaluate customer wait times, queue lengths, and server utilization. It compares the current two-teller setup with a proposed three-teller system to assess efficiency improvements.
Live-tennis match-state gate for Simmer/Polymarket tennis markets — modeled on simmer-sdk's regime_gate_skill.py. Observe-only: gates/sizes entries on live score, serving, break-point and retirement state from the Live Tennis API (FREE tier). MIT.
Documentation supporting template reproducible analytical pipelines (RAP) for simple python and R discrete-event simulation (DES) models.
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