Characterize posterior predictive data

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))

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

Carruthers and Hordyk 2018

T. Carruthers