Description Usage Format Details Note References See Also Examples
Markov chain Monte Carlo projections from stock assessment of cod (Gadus morhua) in Icelandic waters.
1 |
List containing two lists:
B | projected biomass by year, given a constant harvest
rate policy: "0" , "0.05" , ..., "0.50" . |
Y | projected catch by year, given a constant harvest rate
policy: "0" , "0.05" , ..., "0.50" . |
MCMC projections can be used to evaluate the medium-term outcome of harvest policies (in this case, a certain fixed harvest rate), given the uncertainty about parameter values and random future recruitment.
See the x.cod
help page for details about the data and
model.
The list was imported from the files ‘strategy.out’,
‘projspbm.out’ and ‘procatch.out’, using the
importProj()
function. These files can be found in the
‘scape/example/mcmc’ directory.
The functions ll
(package gdata) and head
are recommended for browsing nested objects, e.g. ll(xproj)
,
ll(xproj$B)
, ll(xproj$B$"0.25")
, and
head(xproj$B$"0.25")
.
The plotMCMC package is recommended for plotting MCMC diagnostics and posteriors.
Magnusson, A., Punt, A. E. and Hilborn, R. (2013) Measuring uncertainty in fisheries stock assessment: the delta method, bootstrap, and MCMC. Fish and Fisheries, 14, 325–342.
importProj
was used to import the MCMC projections.
xmcmc
and xproj
are MCMC results and projections
for the x.cod
model run.
scape-package
gives an overview of the package.
1 | # See examples in package 'plotMCMC'
|
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