summarize_MCBE: Summarize results from MCBE uncertainty analysis

In nikolaifish/bamExtras: Functions and Data in Support of Stock Assessments with the Beaufort Assessment Model (BAM)

Summarize results from MCBE uncertainty analysis

Description

Summarize results from MCBE uncertainty analysis

Usage

summarize_MCBE(
  dir_bam_sim = "sim",
  dir_bam_base = "base",
  nm_model = "",
  obj_collect = c("info", "parms", "like", "spr.brps", "mse", "a.series", "t.series",
    "parm.cons", "N.age", "Z.age", "sel.age"),
  obj_labels = list(parm.cons = c("init", "lower", "upper", "phase", "prior_mean",
    "prior_var", "prior_pdf", "out")),
  ncores = NULL
)

Arguments

dir_bam_sim	Name of directory where run_MCBE results files are stored, relative to the working directory.
dir_bam_base	Name of directory where base model results are stored, relative to the working directory.
nm_model	character string indicating the model name as part of the MCBE file names. For example, "bam" is the nm_model in "1-bam.rdat". This optional argument should be specified if there are .rdat files in dir_bam_sim other than the MCBE output files. Otherwise, this function will try to read all .rdat files.
obj_collect	Names of objects in MCBE rdat files to collect and summarize
obj_labels	list of names for each value of each parameter in parm.cons
ncores	number of cores to use for parallel processing

Value

list of summarized outputs, most of which are named similar to typical BAM output (rdat) files. This list can be passed to plot_MCBE to make a variety of useful plots

Examples

## Not run: 
# Run MCBE, writing files to dir_bam_sim
run_MCBE("GrayTriggerfish", dir_bam_sim="GrTr_sim", dir_bam_base="GrTr_base")
# Summarize results of MCBE and assign to object
MCBE_GrTr <- summarize_MCBE(dir_bam_sim="sim_GrTr")

## End(Not run)

nikolaifish/bamExtras documentation built on July 21, 2023, 8:26 a.m.