#' @title mac_run_the_stuff
#'
#' @description A wrapper function for running the mackerel simulation
#'
#' @export
#'
#' @param dat A data.frame containing the mean values
#' @param ctr The control file
mac_run_the_stuff <- function(dat,ctr) {
monsterStructure <- hcr_set_dimensions(ctr=ctr)
hcr_set_starting_conditions(dat=dat, d=monsterStructure, ctr=ctr)
# Put in starting stock numbers from sam
X$N[,1,,] <<- ctr$start_N[,1:ctr$iter]/1e6
HRATE <- ctr$HRATE
# the first year
y <- 1
for (h in 1:length(HRATE)) {
Fmult <- hcr_TAC_to_Fmult(y, h)
hcr_operating_model(y, h, ctr, Fmult, nR = 1)
}
# the other years
for (h in 1:length(HRATE)) {
for(y in 2:(ctr$y2 - ctr$y1)) {
# Outcommented: Implementation error
# switch(ctr$i_number,
# dummy <- hcr_implementation_model_1(),
# stop("implementation model 2 is available for developement"),
# stop(" and whatever more ..."))
# Get the realized Fmultiplier given the TAC decision made in the year
# before
Fmult <- hcr_TAC_to_Fmult(y, h)
# Apply the Fmult to the real population numbers
hcr_operating_model(y, h, ctr, Fmult, nR=1)
# Next years TAC
#
# Below formerly had:
# hat <- hcr_observation_error(y,h,Fmult,ctr)
# The above is a bug
hat <- hcr_observation_error(y,h,Fmult,ctr)
# Do predictions for next year and calculate the TAC
switch(ctr$h_number,
stop("Not implemented yet"),
hcr_management_fmort(y,h,hat$hrate,hat$ssb,ctr),
hcr_management_bio(y,h,hat$bio,hat$ssb,ctr))
}
}
# Complete the last year
y <- ctr$y2 - ctr$y1 + 1
for (h in 1:length(HRATE)) {
Fmult <- hcr_TAC_to_Fmult(y, h)
hcr_operating_model(y, h, ctr, Fmult, nR = 1)
}
}
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