hake_recruitment_deviations | R Documentation |
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.
hake_recruitment_deviations
hake_recruitment_deviations_2024
A tibble also of class 'pacea_recruitment' with columns:
year of the estimate of the recruitment deviation
low end (2.5th percentile) of the 95% credible interval for the log-scale recruitment deviation, unitless
median estimate of log-scale recruitment deviation, unitless
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.
See '?hake_recruitment' for further details and reference regarding hake, and explanations of 'hake_recruitment_deviations_2024' etc.
Andrew Edwards
Generated from Andy running (in the hake repository) 'pacea_save()' and then here 'data-raw/groundfish/hake.R'.
## Not run:
hake_recruitment_deviations
plot(hake_recruitment_deviations)
## End(Not run)
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