genericRecoverySim: Recovery Simulator - Generic Version

Description Usage Arguments Details Value

View source: R/genericRecoverySimulator.R

Description

Closed-loop simulation tool to assess management procedures and inform Pacific salmon rebuilding strategies.

Usage

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genericRecoverySim(
  simPar,
  cuPar,
  catchDat = NULL,
  srDat = NULL,
  variableCU = FALSE,
  makeSubDirs = TRUE,
  ricPars,
  larkPars = NULL,
  cuCustomCorrMat = NULL,
  erCorrMat = NULL,
  dirName,
  nTrials = 100,
  uniqueProd = TRUE,
  uniqueSurv = FALSE,
  random = FALSE
)

Arguments

simPar

Simulation parameters.

cuPar

CU (Conservation Unit) parameters.

catchDat

Historical catch data.

srDat

Historical stock-recruitment data.

variableCU

A logical to determine if CU name should be included in output labels.

makeSubDirs

Should sub-directories by made for outputs?

ricPars

Ricker stock-recruitment parameters.

larkPars

Larkin stock-recruitment parameters.

cuCustomCorrMat

Custom correlation matrix for recruitment residuals.

erCorrMat

Correlation matrix for exploitaion rates.

dirName

Name of directory for outputs.

nTrials

Number of Monte Carlo trials.

uniqueProd

Should all CUs have unique productivities?

uniqueSurv

Should all CUs have unique correlations?

random

Should all trials start with a random seed?

Details

Adapted from the original recoverySim() function developed to inform rebuilding strategies for Fraser sockeye salmon and North Coast Chum (see Holt, C.A., Freshwater, C., Holt, K., and Huang, A.-M. 2020. A quantitative tool for evaluating rebuilding plans for Pacific salmon. Can. Tech. Rep. Fish. Aquat. Sci. 3402: v + 26 p.; https://waves-vagues.dfo-mpo.gc.ca/Library/40889385.pdf)

This version has been adapted to easily accomodate alternative life history types. Additionally, the Total Allowable Mortality (TAM) HCR specific to Fraser sockeye fisheries, and assocaited performance measures, has been removed.

Simulation runs primed with observed SR data (recDat input). The model includes data generation, variation in age structure, survey design, and variable exploitation rules.

Value

TO BE DEFINED


TESA-workshops/TESAsamSim documentation built on Feb. 6, 2021, 12:25 a.m.