fw_jabba: fw_jabba() External forward projections in JABBA

In jabbamodel/JABBA: Just Another Bayesian Biomass Assessment

fw_jabba() External forward projections in JABBA

Description

fw_jabba() External forward projections in JABBA

Usage

fw_jabba(
  jabba,
  nyears = 10,
  imp.yr = NULL,
  quant = c("Catch", "F")[2],
  type = c("ratio", "msy", "abs")[2],
  initial = NULL,
  imp.values = seq(0.8, 1.2, 0.1),
  nsq = 3,
  stochastic = c(TRUE, FALSE)[1],
  AR1 = c(TRUE, FALSE)[2],
  ndevs = 1,
  sigma.proc = NULL,
  rho = NULL,
  run = NULL,
  thin = 1
)

Arguments

jabba	objects from fit_jabba() or list of fit_jabba() objects
quant	quantity to forecast c("Catch","F") Catch F
type	choose the type of values provided c("ratio","msy","abs")[1] ratio (relative to status quo Catch or F) msy (relative to Fmsy or MSY) abs (input values are taken as absolute values)
initial	value or vector Catch or F values, default takes mean over recent 3 yrs
imp.values	vector Catch or F scenarios provide as absolute or ratios
stochastic	if FALSE, process error sigma.proc is set to zero
AR1	if TRUE, projection account auto correlation in the process devs
ndevs	number years on the tail to set initial proc.error for forecasting
sigma.proc	option to specify the process error other than the posterior estimate
rho	if AR1 = TRUE, the autocorrelation coefficient is estimated from the proc devs
run	option to assign a scenario name other than specified in build_jabba()
thin	option to thin the posterior at rates > 1

Value

data.frame of kobe posterior model + forecast scenarios

jabbamodel/JABBA documentation built on Nov. 2, 2024, 12:50 p.m.