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Example use of ebswp library for setting up a new model

Read in an existing model

d1 <- read_dat("runs/dat/proctune1.dat")
d2 <- read_dat("runs/dat/pm_ssb0.dat")

Now use process error tuned file to fix the vales in the “ssb” files

d3            <- d2
d3$n_avo      <- d1$n_avo
d3$ob_avo     <- d1$ob_avo
d3$ob_avo_std <- d1$ob_avo_std
d3$wt_avo     <- d1$wt_avo
d3$yrs_avo    <- d1$yrs_avo

write_dat(output_file="runs/dat/pm_ssb0new.dat", indata=d3)

# Create directory and copy key files
dir.create("runs/ssb0")
file.copy("runs/ssb0_origProcTune/control.dat","runs/ssb0/",overwrite = TRUE)
file.copy("runs/avon2/compweights.ctl","runs/ssb0/",overwrite = TRUE)
file.remove("runs/ssb0/pm")
file.symlink("../../src/pm","runs/ssb0/pm")
# Read pm.dat, then write (e.g.,)
  pm.dat<-read_table("runs/ProcTune/pm.dat",col_names=FALSE)
# Add some description of the rows...
  row.names(pm.dat) <- c("Desc","main","sel","ctl","altFmsy","cov","wtage","cpue","temp","q")
  pm.dat
  pm.dat[1,] <- "Updated_SSB0_to_proctune1"
  pm.dat[2,] <- "../dat/pm_ssb0new.dat"
  writeLines(as.character(pm.dat$X1),"runs/ssb0/pm.dat")
  

For SSB1

#d1 <- read_dat("runs/dat/pm_avon2.dat")
d2 <- read_dat("runs/dat/pm_ssb1.dat")
d3            <- d2
d3$n_avo      <- d1$n_avo
d3$ob_avo     <- d1$ob_avo
d3$ob_avo_std <- d1$ob_avo_std
d3$wt_avo     <- d1$wt_avo
d3$yrs_avo    <- d1$yrs_avo

write_dat(output_file="runs/dat/pm_ssb1new.dat", indata=d3)

# Create directory and copy key files
dir.create("runs/ssb1")
file.copy("runs/ProcTune/control.dat","runs/ssb1/",overwrite = TRUE)
file.copy("runs/avon2/compweights.ctl","runs/ssb1/",overwrite = TRUE)
file.remove("runs/ssb1/pm")
file.symlink("../../src/pm","runs/ssb1/pm")
# Read pm.dat, then write (e.g.,)
  pm.dat<-read_table("runs/ProcTune/pm.dat",col_names=FALSE)
# Add some description of the rows...
  pm.dat[1,] <- "Updated_SSB1_to_proctune"
  pm.dat[2,] <- "../dat/pm_ssb1new.dat"
  writeLines(as.character(pm.dat$X1),"runs/ssb1/pm.dat")
  

And SSB2

#d1 <- read_dat("runs/dat/pm_proctune1.dat")
d2 <- read_dat("runs/dat/pm_ssb2.dat")
d3            <- d2
d3$n_avo      <- d1$n_avo
d3$ob_avo     <- d1$ob_avo
d3$ob_avo_std <- d1$ob_avo_std
d3$wt_avo     <- d1$wt_avo
d3$yrs_avo    <- d1$yrs_avo

write_dat(output_file="runs/dat/pm_ssb2new.dat", indata=d3)

# Create directory and copy key files
dir.create("runs/ssb2")
file.copy("runs/ProcTune/control.dat","runs/ssb2/",overwrite = TRUE)
file.copy("runs/avon2/compweights.ctl","runs/ssb2/",overwrite = TRUE)
file.remove("runs/ssb2/pm")
file.symlink("../../src/pm","runs/ssb2/pm")
# Read pm.dat, then write (e.g.,)
  pm.dat<-read_table("runs/ProcTune/pm.dat",col_names=FALSE)
# Add some description of the rows...
  pm.dat[1,] <- "Updated_SSB2_to_proctune"
  pm.dat[2,] <- "../dat/pm_ssb2new.dat"
  writeLines(as.character(pm.dat$X1),"runs/ssb2/pm.dat")
  

And obs-error run

d1 <- read_dat("runs/dat/pm_avon2.dat")
d2 <- read_dat("runs/dat/std_tune.dat")
d3            <- d2
d3$n_avo      <- d1$n_avo
d3$ob_avo     <- d1$ob_avo
d3$ob_avo_std <- d1$ob_avo_std
d3$wt_avo     <- d1$wt_avo
d3$yrs_avo    <- d1$yrs_avo

write_dat(output_file="runs/dat/obs_err_tune.dat", indata=d3)

# Files already in "tune" dir
file.remove("runs/tune/pm")
file.symlink("../../src/pm","runs/tune/pm")
# Read pm.dat, then write (e.g.,)
  pm.dat<-read_table("runs/tune/pm.dat",col_names=FALSE)
# Add some description of the rows...
  pm.dat[1,] <- "Obs_error_tuning"
  pm.dat[2,] <- "../dat/obs_err_tune.dat"
  writeLines(as.character(pm.dat$X1),"runs/tune/pm.dat")
  

Now run them all in parallel

  mod_dir   <- c("ProcTune","ssb0","ssb1","ssb2")
  mod_names <- c("Proc_error_Tune","ssb0","ssb1","ssb2")
  # output=TRUE default, also check on spm
  res <- run_model()
  #res <- get_results()
  tab_fit(res, mod_scen = c(1:2)) |> gt::gt()
  tab_fit(res, mod_scen = c(1:4)) |> gt::gt()
  tab_ref(res, mod_scen = c(1:4)) |> gt::gt() |> gt::fmt_markdown()
  
  # See if different from base
  tail(sc2)
  ctl <-read_dat("runs/ProcTune/control.dat")
  ctlb <-read_dat("runs/base22/control.dat")
  diff <- purrr::map_lgl(names(ctl), ~ !identical(ctl[[.]], ctlb[[.]]))
  sum(diff)
  names(ctl[diff])
  cbind(ctl[diff][2],ctlb[diff][2])
  names(ctl)
  ctl[56]
  write_dat("runs/base22/control.dat",ctl)

# Set an initial working directory
  mod_names <- c("AVON Full","Proc_tune")
  mod_dir <- c("avon2", "ProcTune")
  # Note, 0.2 CV for selectivity variability nails it (from base22)
  # Read, adjust, write...
  sc <-read_table("runs/dat/scmed22P.dat",col_names = FALSE); names(sc) <- c("Year","fsh","bts","ats")
  tail(sc )
  # Iterated on selectivity
  sc2 <-  sc |> mutate(ats = ifelse(ats>0,.138,0))
  write.table(sc2,file="runs/dat/scmed22P.dat",col.names = FALSE,row.names = FALSE)
  #modtune <- run_model(Output=TRUE)
  modtune<-get_results()
  tab_fit(modtune, mod_scen = c(1,2)) |> gt::gt()
  tab_ref(modtune, mod_scen = c(1,2)) |> gt::gt()
  tab_ref(modlst, mod_scen = c(4,5)) |> gt::gt()
  (modlst[[4]]$nextyrssbs)
  (modlst[[4]]$nextyrssb.sd)
  (modtune[[1]]$nextyrssbs)
  names(modtune)