NEWS
CatDyn 1.1
Observed exploitation rate = observed catch in weight/predicted biomass
Expected exploitation rate = predicted catch in weight/predicted biomass
- 20 Add estimation of fishing mortality F from exploitation rate to CatDynPred
Solve for F in Baranov exploitation rate (F/(F+M))(1-exp(-F-M)) using uniroot
Observed F = using observed exploitation rate
Expected F = using expected exploitation rate
- 21 Add function CatDynBSD for annual biomass and its standard error for hierarchical estimation of surplus production model
22 Add function mobw.kg to calculate mean weight and its standard error by month using timeless length and weight data and sequential length and month data.
23 Add length and weight, length and month data from gay hake to use in mobw.kg example
25 Add m.hoenig data of natural mortality (1/yr) and longevity (yr) as published in Hoenig (2005)
26 Create newmodel type, resident stock with partial emigration, inspired by fishery for octpus in Asturias, northern Spain, set with p negative and partial = TRUE.
27 Add partial=TRUE to CatDynFit, CatDynPred, candynexp and all internal functions called by these to accommodate the new model type in 26. Only transit models need to be set by making partial=FALSE overriding default.