DLMtool (version 3.2.3)

Observation-class: Class

Description

An operating model component that controls the observation model

Slots

Name

The name of the observation model object

Cobs

Log-normal catch observation error expressed as a coefficient of variation (uniform distribution)

Cbiascv

A coefficient of variation controlling the sampling of bias in catch observations for each simulation (uniform distribution)

CAA_nsamp

Number of catch-at-age observation per time step (uniform distribution)

CAA_ESS

Effective sample size (independent age draws) of the multinomial catch-at-age observation error model (uniform distribution)

CAL_nsamp

Number of catch-at-length observation per time step (uniform distribution)

CAL_ESS

Effective sample size (independent length draws) of the multinomial catch-at-length observation error model (uniform distribution)

CALcv

Lognormal, variability in the length at age (uniform distribution)

Iobs

Observation error in the relative abundance indices expressed as a coefficient of variation (uniform distribution)

Mcv

Persistent bias in the prescription of natural mortality rate sampled from a log-normal distribution with coefficient of variation (Mcv)(uniform distribution)

Kcv

Persistent bias in the prescription of growth parameter k sampled from a log-normal distribution with coefficient of variation (Kcv)(uniform distribution)

t0cv

Persistent bias in the prescription of t0 sampled from a log-normal distribution with coefficient of variation (t0cv)(uniform distribution)

Linfcv

Persistent bias in the prescription of maximum length sampled from a log-normal distribution with coefficient of variation (Linfcv)(uniform distribution)

LFCcv

Persistent bias in the prescription of lenght at first capture sampled from a log-normal distribution with coefficient of variation (LFCcv)(uniform distribution)

LFScv

Persistent bias in the prescription of length-at-fully selection sampled from a log-normal distribution with coefficient of variation (LFScv)(uniform distribution)

B0cv

Persistent bias in the prescription of maximum lengthunfished biomass sampled from a log-normal distribution with coefficient of variation (B0cv)(uniform distribution)

FMSYcv

Persistent bias in the prescription of FMSY sampled from a log-normal distribution with coefficient of variation (FMSYcv)(uniform distribution)

FMSY_Mcv

Persistent bias in the prescription of FMSY/M sampled from a log-normal distribution with coefficient of variation (FMSY_cv)(uniform distribution)

BMSY_B0cv

Persistent bias in the prescription of BMsY relative to unfished sampled from a log-normal distribution with coefficient of variation (BMSY_B0cv)(uniform distribution)

rcv

Persistent bias in the prescription of intrinsic rate of increase sampled from a log-normal distribution with coefficient of variation (rcv)(uniform distribution)

LenMcv

Persistent bias in the prescription of length at 50 percent maturity sampled from a log-normal distribution with coefficient of variation (A50cv)(uniform distribution)

Dbiascv

Persistent bias in the prescription of stock depletion sampled from a log-normal distribution with coefficient of variation (Linfcv)(uniform distribution)

Dcv

Imprecision in the prescription of stock depletion among years, expressed as a coefficient of variation (uniform distribution)

Btbias

Persistent bias in the prescription of current stock biomass sampled from a uniform-log distribution with range (Btbias)(uniform distribution)

Btcv

Imprecision in the prescription of current stock biomass among years expressed as a coefficient of variation (uniform distribution)

Fcurbiascv

Persistent bias in the prescription of current fishing mortality rate sampled from a log-normal distribution with coefficient of variation (Fcurcv)(uniform distribution)

Fcurcv

Imprecision in the prescription of current fishing mortality rate among years expressed as a coefficient of variation (uniform distribution)

hcv

Persistent bias in steepness (uniform distribution)

Icv

Observation error in realtive abundance index expressed as a coefficient of variation (uniform distirbution)

maxagecv

Bias in the prescription of maximum age (uniform distribution)

beta

A parameter controlling hyperstability/hyperdepletion. I^beta therefore values below 1 lead to hyperstability (an index that decreases slower than true abundance) and values above 1 lead to hyperdepletion (an index that decreases more rapidly than true abundance)(uniform distribution)

Reccv

Bias in the knowledge of recent recruitment strength (uniform distribution)

Irefcv

Bias in the knowledge of the relative abundance index at BMSY (uniform distribution)

Brefcv

Bias in the knowledge of BMSY (uniform distribution)

Crefcv

Bias in the knowledge of MSY(uniform distribution)

Objects from the Class

Objects can be created by calls of the form new('Observation', OM)

Examples

showClass('Observation')