scape (version 2.2-0)

scape-package: Statistical Catch-at-Age Plotting Environment

Description

Import and plot results from statistical catch-at-age models, used in fisheries stock assessments.

Arguments

Details

Import model results: ll{ importCol Coleraine model results } Plot model fit to data: ll{ plotCA catch at age plotCL catch at length plotIndex abundance index plotLA length at age } Plot derived quantities: ll{ plotB biomass, recruitment, and landings plotN numbers at age plotSel selectivity and maturity } Sigmas and sample sizes: ll{ getN, getSigmaI, getSigmaR extract estN, estSigmaI, estSigmaR estimate iterate combine all get* and est* } Import MCMC results: ll{ importMCMC traces of likelihoods, parameters, biomass and recruitment importProj medium-term projections of biomass and catch } Examples: ll{ x.cod, x.ling, x.oreo, x.sbw cod, ling, oreo, and whiting assessments xmcmc, xproj MCMC results }

References

Magnusson, A. (2005) R goes fishing: Analyzing fisheries data using AD Model Builder and R. Proceedings of the 4th International Workshop on Distributed Statistical Computing. Available at http://www.hafro.is/~arnima/pdf/2005-scape.pdf. Magnusson, A. and Hilborn, R. (2007) What makes fisheries data informative? Fish and Fisheries 8, 337--358. 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.

See Also

Most scape graphics are trellis plots, rendered with the lattice package. The functions Args and ll (package gdata) can be useful for browsing unwieldy functions and objects. The plotMCMC package can be used to diagnose the results of MCMC analysis.