table_ts_values_mcmc: Create a table of time series estimates for MCMC iSCAM models

In pbs-assess/gfiscamutils: Provide functions for iSCAM models

Create a table of time series estimates for MCMC iSCAM models

Description

Make a table of medians and/or credible intervals for values such as biomass, recruitment, depletion, and fishing mortality

Usage

table_ts_values_mcmc(
  models,
  model_desc = NULL,
  value = c("sbt", "rt", "ft", "ut", "depl"),
  start_yr = NULL,
  digits = 2,
  probs = c(0.025, 0.5, 0.975),
  model_col_widths = NULL,
  bold_headers = TRUE,
  ...
)

Arguments

models	A list of iscam model objects (class mdl_lst_cls)
model_desc	A description for the models to be shown in multicolumn headings in the table (if more than one model only). If NULL, names will be created (Model 1, Model 2, etc.)
value	An output value to produce the table for. Can be 'sbt' (spawning biomass), 'rt' (recruitment), 'ft' (fishing mortality), 'ut' (exploitation rate), or 'depl' (depletion)
start_yr	Year to start the table with. If NULL, all years will be included
digits	Number of decimal places for the values in the table
probs	A 3-element vector of probabilities that appear in the output data frames. This is provided in case the data frames have more than three different quantile levels
model_col_widths	Widths for columns, except the Parameter column
bold_headers	If TRUE, make all column headers bold
...	Arguments to pass to csasdown::csas_table()

Value

A csasdown::csas_table()

pbs-assess/gfiscamutils documentation built on Oct. 24, 2024, 1:37 p.m.