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Team 3
Hilmar Lapp edited this page Apr 15, 2015
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Members:
- Allan Strand (team lead)
- Michelle DePrenger-Levin
- Sean Hoban
- Eric Archer
- Libby Liggins
- Christian Parobek
Create an R package that guides users through the workflow of implementing simulations in population genetics questions. Create accompanying documentation that outlines the questions that simulations can address and discusses issues relevant to choice of initial parameters, simulator type, execution, and summary metrics.
Day 2:
- Collected the kinds of things that people want to do with simulation.
- Simulation workflow outline
- Feedback sought: What would be good case studies for simulation workflow?
Day 3:
- Finalized components that would go into simulation workflow.
- Determined which simulators we would need from users.
- Creating a "decision tree" function now for suggesting best-suited simulator, skeleton coming together.
Day 4:
- Building simulators, some in R and some external. Supporting both forward and backward simulation.
- Working on the front end - gathering parameters from the user.
- Also working on the tail end - handling different types of statistics with suitable tests.
- Working on showing distributions.
26 March 2015:
Group Tcon to discuss future directions. All members attended. Assigned tasks for continued development and settled on a consistent meeting time.
14 April 2015:
skeleSim now has it's own repo! It lives here, for now. Development is ongoing, and our team hopes to meet again this July to continue development.
- R code in skeleSim repository