All functions

AIC()

Akaike's information criterion for FLSAM

FLSAM() update() FLR2SAM() runSAM() SAM2FLR()

FLR Wrapper for the State-space assessment model (FLSAM)

FLSAM.control()

FLSAM.control

FLSAM.out() sam.out()

Create FLSAM formatted output file

FLSAMs-class

Class "FLSAMs"

catchabilities() power.law.exps() obs.var() ssb() tsb() n() rec() f() fbar() catch()

Accessor functions for FLSAM

cor.plot()

FLSAM sam variable correlation plot

NSH NSH.sam HERAS.sams

North Sea Autumn Spawning Herring Stock Assessment

drop.from.control()

Drop an element from an FLSAM.control object

looi() loo() loi()

Run a sequence of assessments leaving one fleet (non-catch) in or out

lr.test()

Perform a log-ratio test for all models specified

monteCarloStock()

Generate new starting conditions of numbers and f-at-age.

obscv.plot()

Create diagnostic observation variance v.s. CV plot.

obsvar.plot()

Create diagnostic observation variance plot.

otolith()

Visualise uncertainity in the terminal Fbar and SSB

params() coef() coefficients()

Parameter accessor functions for FLSAM

procerr.plot()

Produce diagnostics on process error in the SAM Model

residual.diagnostics()

FLSAM assessment diagnostics

retro()

Retrospective stock assessment for FLSAM