simStoat
Python script to read in mcmc results to sample posterior parameter distributions, and run simulations of management scenarios. The code produces probabilities of control-to-zero density in simulation period. Also printed to screen are graphs of mean population size over the study and simulation periods.
Additional Information
| Field | Value |
|---|---|
| Data last updated | 2016 जुलाई 27 |
| Metadata last updated | 2016 जुलाई 28 |
| Created | 2016 जुलाई 28 |
| Recent downloads | 4 |
| Total downloads | 19 |
| Format | py |
| License | CC-BY 4.0 (Attribution) |
| Version | |
| Datastore active | False |
| Has views | True |
| Id | 4e8dcf8d-0cc9-4816-8b3f-c7220bc12b10 |
| Package id | d58d13bb-8338-480f-93f1-68d93d4919c2 |
| Position | 12 |
| State | active |
| Url type | upload |