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 | 27 July 2016 |
Metadata last updated | 28 July 2016 |
Created | 28 July 2016 |
Format | py |
License | CC-BY 4.0 (Attribution) |
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 |
Version |