Sense: Sensitivity analysis

View source: R/Data_Functions.R

SenseR Documentation

Sensitivity analysis

Description

A function that determines the inputs for a given data-limited method of class Output and then analyses the sensitivity of TAC estimates to marginal differences in each input. The range used for sensitivity is based on the user-specified CV for that input (e.g. CV_Mort, Mort)

Usage

Sense(Data, MP, nsense = 6, reps = 100, perc = c(0.05, 0.5, 0.95), ploty = T)

Arguments

Data

A data-limited methods data object

MP

A character string representing an MP applied in calculating the TAC recommendations in the DLM object

nsense

The number of points over which to calculate the TAC (resolution)

reps

The number of samples of the quota taken for the calculation of the TAC

perc

The percentile of the sample TAC

ploty

A logical switch, (T/F, should a plot be drawn?)

Author(s)

T. Carruthers

Examples

## Not run: 
Data <- Sense(MSEtool::Cobia, "AvC")

## End(Not run)

MSEtool documentation built on Sept. 30, 2024, 9:22 a.m.