params: Projection parameters

In duplisea/ccca: Climate Change Conditioned Advice for Sustainable Fisheries Exploitation

Description

A list with all the default projection parameters needed to run a projection. You need to unlist this so that each named element (level 1) in the list is an object in the global environment. You can change these unlisted objects individually. It can be a good idea to unlist the basic parameters file before each projection and then changing only the things you want to make sure you are always starting from the same point each time.

Usage

data(params)

Format

A list with 19 elements

Details

• q. Survey catchability. Probably 1 or less (scalar)

• ref.pt. A multiplier of the biomass in the reference period to estimate the reference point (scalar)

• risk. The acceptable risk of not achieving the reference point in the specified time.frame (scalar 0–1).

• time.frame. The acceptable time period for achieving the reference point objective (scalar)

• Bstart.mult. The multiplier of the last data year's biomass which will start the projection (scalar)

• K. Multiplier of the maximum observed biomass that will be considered the carrying capacity for the density dependent model (scalar)

• theta. The degree of asymmetry in the density dependent production curve (scalar, 1=symmetric).

• model.type. This is the kind of model you want to use to fit the PB vs E relationship: gam.adaptive" "poly", "gam.adaptive"

• poly.degree. The degree of the polynomial to fit for P/B vs E if you chose "poly" for model type

• knots. The number of knots for a gam.adaptive fit. A good value is n/2.5

• add.resids. If 1 then multiplicative residuals are sampled from P/B vs E curve. 0 if no residuals (scalar values other than 0 and 1 should NEVER be used)

• Emean.shift. The change in the mean of the E distribution for a future climate scenario (scalar, + or -)

• E.var.inc. The change in the variance of the E distribution for a future climate scenario (scalar, 1 for as is, >1 decreases variance)

• N. The number of Monte Carlo samples for the projection (scalar)

• proj.years. The number of years to project into the future. Must be >= time.frame (scalar)

• N.CCF. The number of Monte Carlo samples for each projection for very unique commbination of Emean.shift and F into the future (scalar)

• Emean.shifts. The Emean.shifts to try for determining CCFs (vector)

• fs. The exploitation rates to try for determining CCFs (vector)

duplisea/ccca documentation built on April 17, 2021, 2:31 a.m.