prepare_projection: Prepare input data and parameters to project an already fit...

In timjmiller/wham: Woods Hole Assessment Model (WHAM)

Prepare input data and parameters to project an already fit WHAM model

Description

prepare_projection is an internal function called by project_wham, which in turn is called by fit_wham if do.proj = TRUE.

Usage

prepare_projection(model, proj.opts, check.version = FALSE)

Arguments

model	a previously fit wham model
proj.opts	a named list with the following components: $n.yrs (integer), number of years to project/forecast. Default = 3. $use.last.F (T/F), use terminal year F for projections. Default = TRUE. $use.avg.F (T/F), use average of F over certain years for projections. Default = FALSE. Years to average over determined by $avg.yrs defined below. $use.FXSPR (T/F), calculate and use F at X% SPR for projections. Default = FALSE. $use.FMSY (T/F), calculate and use FMSY for projections. Default = FALSE. $proj.F (vector), user-specified fishing mortality for projections. Length must equal n.yrs. $proj.catch (vector), user-specified aggregate catch for projections. Length must equal n.yrs. $avg.yrs (vector), specify which years to average over for calculating reference points. Default = last 5 model years, tail(model$years, 5). $cont.ecov (T/F), continue ecov process (e.g. random walk or AR1) for projections. Default = TRUE. $use.last.ecov (T/F), use terminal year ecov for projections. $avg.ecov.yrs (vector), specify which years to average over the environmental covariate(s) for projections. $proj.ecov (matrix), user-specified environmental covariate(s) for projections. n.yrs x n.ecov. $cont.M.re (T/F), continue M random effects (i.e. AR1_y or 2D AR1) for projections. Default = FALSE. If FALSE, M will be averaged over $avg.yrs (which defaults to last 5 model years). $cont.move.re (T/F), continue any movement random effects for projections. Default = FALSE. If FALSE, movement parameters will be averaged over $avg.yrs (which defaults to last 5 model years). $cont.L.re (T/F), continue any movement random effects for projections. Default = FALSE. If FALSE, movement parameters will be averaged over $avg.yrs (which defaults to last 5 model years). $avg.rec.yrs (vector), specify which years to calculate the CDF of recruitment for use in projections. Default = all model years. Only used when recruitment is estimated as fixed effects (SCAA). $percentFXSPR (scalar), percent of F_XSPR to use for calculating catch in projections, only used if $use.FXSPR = TRUE. For example, GOM cod uses F = 75% F_40%SPR, so proj.opts$percentFXSPR = 75. Default = 100. $percentFMSY (scalar), percent of F_MSY to use for calculating catch in projections, only used if $use.FMSY = TRUE. $proj_F_opt (vector), integers specifying how to configure each year of the projection: 1: use terminal F, 2: use average F, 3: use F at X% SPR, 4: use specified F, 5: use specified catch, 6: use Fmsy. Overrides any of the above specifications. $proj_Fcatch (vector or matrix), catch or F values to use each projection year: values are not used when using Fmsy, FXSPR, terminal F or average F. Overrides any of the above specifications of proj.F or proj.catch. if vector, total catch or F is supplied else matrix columns should be fleets for fleet-specific F to be found/used (n.yrs x 1 or n_fleets). $proj_mature (array), user-supplied maturity values for the projection years with dimensions (n_stocks x n.yrs x n_ages). $proj_waa (3-d array), user-supplied waa values for the projection years with first and third dimensions equal to that of model$input$data$waa (waa source x n.yrs x n_ages). $proj_R_opt (integer), 1: continue any RE processes for recruitment, 2: make projected recruitment consistent with average recruitment in SPR reference points and cancel any bias correction for NAA in projection years. $proj_NAA_init (scalar), the default starting value for all NAA random effects in projection years is exp(10), which may not be large enough for some catch specification. Use this to change the default if a call to project_wham suggests it.
check.version	T/F check whether version WHAM and TMB for fitted model match that of the version of WHAM using for projections. Default = TRUE.

Value

same as prepare_wham_input, a list ready for fit_wham:

data

Named list of data, passed to TMB::MakeADFun

par

Named list of parameters, passed to TMB::MakeADFun

map

Named list of factors that determine which parameters are estimated, passed to TMB::MakeADFun

random

Character vector of parameters to treat as random effects, passed to TMB::MakeADFun

years

Numeric vector of representing (non-projection) model years of WHAM model

years_full

Numeric vector of representing all model and projection years of WHAM model

ages.lab

Character vector of age labels, ending with plus-group

model_name

Character, name of stock/model (specified in call to prepare_wham_input)

See Also

prepare_wham_input, project_wham

timjmiller/wham documentation built on Feb. 4, 2025, 10:31 p.m.