hake_recruitment_deviations: Pacific Hake annual log-scale age-0 recruitment deviations...

hake_recruitment_deviationsR Documentation

Pacific Hake annual log-scale age-0 recruitment deviations from the stock-recruitment curve, as estimated by the most recent stock assessment.

Description

For each Markov chain Monte Carlo (MCMC) sample there is an estimated recruitment (in each year), plus a stock-recruitment-relationship value based on that MCMC sample's estimate of steepness, unfished recruitment, and spawning biomass. The difference (estimated minus stock-recruitment-relationship value) is the deviation, which is given on a natural log scale. Values are given for 1966 (initial year of the model) onwards.

Usage

hake_recruitment_deviations

hake_recruitment_deviations_2024

Format

A tibble also of class 'pacea_recruitment' with columns:

year:

year of the estimate of the recruitment deviation

low:

low end (2.5th percentile) of the 95% credible interval for the log-scale recruitment deviation, unitless

median:

median estimate of log-scale recruitment deviation, unitless

high:

high end (97.5th percentile) of the 95% credible interval for the log-scale recruitment deviation, unitless

An object of class pacea_recruitment (inherits from tbl_df, tbl, data.frame) with 58 rows and 4 columns.

Details

See '?hake_recruitment' for further details and reference regarding hake, and explanations of 'hake_recruitment_deviations_2024' etc.

Author(s)

Andrew Edwards

Source

Generated from Andy running (in the hake repository) 'pacea_save()' and then here 'data-raw/groundfish/hake.R'.

Examples

## Not run: 
hake_recruitment_deviations
plot(hake_recruitment_deviations)

## End(Not run)

pbs-assess/PACea documentation built on April 17, 2025, 11:36 p.m.