ssdeltaMVLN: SSdeltaMVLN()

In jabbamodel/ss3diags: What the Package Does (One Line, Title Case)

SSdeltaMVLN()

Description

function to generatbe kobe pdfs from a Multivariate Log-Normal Distribution including plotting option

Usage

SSdeltaMVLN(
  ss3rep,
  Fref = NULL,
  years = NULL,
  virgin = FALSE,
  catch.type = c("Exp", "Obs", "sel_bio", "ret_bio"),
  mc = 5000,
  weight = 1,
  run = "MVLN",
  plot = TRUE,
  addprj = FALSE,
  ymax = NULL,
  xmax = NULL,
  legendcex = 1,
  summary = TRUE,
  verbose = TRUE,
  quantiles = c(0.025, 0.975),
  seed = 123
)

Arguments

ss3rep	from r4ss::SS_output
Fref	Choice of Fratio c("MSY","Btgt","SPR","F01"), correponding to F_MSY and F_Btgt
years	single year or vector of years for mvln
virgin	if FALSE (default) the B0 base for Bratio is SSB_unfished
catch.type	reported catch c("Exp","Obs","sel_bio","ret_bio")
mc	number of monte-carlo simulations
weight	weighting option for model ensembles weight*mc
run	qualifier for model run
plot	option to show plot
addprj	include forecast years
ymax	ylim maximum
xmax	xlim maximum
summary	if TRUE trajectory summary table with MLEs and CIs is added
verbose	Report progress to R GUI?
quantiles	for computing CIs, default c(0.025,0.975)
seed	retains interannual correlation structure like MCMC
legendcex=1	Allows to adjust legend cex

Value

output list of quant posteriors and mle's

Author(s)

Henning Winker (JRC-EC)

Examples

mvn = SSdeltaMVLN(ss3sma,plot=TRUE) 

jabbamodel/ss3diags documentation built on Oct. 8, 2024, 11:49 p.m.