getinds: Characterize posterior predictive data

In SAMtool: Stock Assessment Methods Toolkit

Characterize posterior predictive data

Description

Characterize posterior predictive data

Usage

getinds(
  PPD,
  styr,
  res = 6,
  tsd = c("Cat", "Cat", "Cat", "Ind", "ML"),
  stat = c("slp", "AAV", "mu", "slp", "slp")
)

Arguments

PPD	An object of class Data stored in the Misc slot of an MSE object following a call of runMSE(PPD = TRUE).
styr	Positive integer, the starting year for calculation of quantities
res	Positive integer, the temporal resolution (chunks - normally years) over which to calculate quantities
tsd	Character vector of names of types of data: Cat = catch, Ind = relative abundance index, ML = mean length in catches
stat	Character vector of types of quantity to be calculated: slp = slope(log(x)), AAV = average annual variability, mu = mean(log(x))

Value

A 3D array of results (type of data/stat (e.g. mean catches),time period (chunk), simulation)

Author(s)

T. Carruthers

References

Carruthers and Hordyk 2018

SAMtool documentation built on Sept. 11, 2024, 8:07 p.m.