IDX: Index-based MP from Cox et al. (2019)

In pbs-assess/ggmse: Tools for Working with openMSE (Including DLMtool, MSEtool, and SAMtool)

Index-based MP from Cox et al. (2019)

Description

Index-based MP used in the most recent outside Yelloweye Rockfish assessment in BC.

Usage

IDX(
  x,
  Data,
  reps = 100,
  delta_min = -0.5,
  delta_max = 0.25,
  lambda = 1,
  tac_floor = NULL,
  year_ref = 1
)

IDX_smooth(x, Data, reps = 100, tac_floor = 1, ...)

Arguments

x	A position in the data object.
Data	A data object.
reps	The number of stochastic samples of the MP recommendation(s).
delta_min	Most negative drop proportion allowed in the index.
delta_max	Most positive increased proportion allowed in the index.
lambda	Smoothing parameter. 0 means always use the last TAC. 1 means no smoothing. Can take any value in between.
tac_floor	TAC when delta_min is met or exceeded. If left as NULL, the floor will be set to 20% of average catch from the last 5 years.
year_ref	Number of years before the present year for the comparison of the index value. Default looks back one year. For a biennial survey this should be changed to something larger such as 2 or the recommended TAC will never change. Note that the algorithm fills in NA values in the index as the previous non-NA value.
...	Other arguments to pass to IDX.

References

Sean P Cox, Beau Doherty, Ashleen J Benson, Samuel DN Johnson, and Dana Haggarty. Evaluation of potential rebuilding strategies for Outside Yelloweye Rockfish in British Columbia. Working Paper 2017GRF02.

Examples

IDX(1, MSEtool::SimulatedData)
IDX(1, MSEtool::SimulatedData, lambda = 0.5)

pbs-assess/ggmse documentation built on Nov. 21, 2023, 8:06 p.m.