'Obs'An operating model component that controls the observation model
NameThe name of the observation model object
CobsLog-normal catch observation error expressed as a coefficient of variation (uniform distribution)
CbiascvA coefficient of variation controlling the sampling of bias in catch observations for each simulation (uniform distribution)
CAA_nsampNumber of catch-at-age observation per time step (uniform distribution)
CAA_ESSEffective sample size (independent age draws) of the multinomial catch-at-age observation error model (uniform distribution)
CAL_nsampNumber of catch-at-length observation per time step (uniform distribution)
CAL_ESSEffective sample size (independent length draws) of the multinomial catch-at-length observation error model (uniform distribution)
CALcvLognormal, variability in the length at age (uniform distribution)
IobsObservation error in the relative abundance indices expressed as a coefficient of variation (uniform distribution)
McvPersistent bias in the prescription of natural mortality rate sampled from a log-normal distribution with coefficient of variation (Mcv)(uniform distribution)
KcvPersistent bias in the prescription of growth parameter k sampled from a log-normal distribution with coefficient of variation (Kcv)(uniform distribution)
t0cvPersistent bias in the prescription of t0 sampled from a log-normal distribution with coefficient of variation (t0cv)(uniform distribution)
LinfcvPersistent bias in the prescription of maximum length sampled from a log-normal distribution with coefficient of variation (Linfcv)(uniform distribution)
LFCcvPersistent bias in the prescription of lenght at first capture sampled from a log-normal distribution with coefficient of variation (LFCcv)(uniform distribution)
LFScvPersistent bias in the prescription of length-at-fully selection sampled from a log-normal distribution with coefficient of variation (LFScv)(uniform distribution)
B0cvPersistent bias in the prescription of maximum lengthunfished biomass sampled from a log-normal distribution with coefficient of variation (B0cv)(uniform distribution)
FMSYcvPersistent bias in the prescription of FMSY sampled from a log-normal distribution with coefficient of variation (FMSYcv)(uniform distribution)
FMSY_McvPersistent bias in the prescription of FMSY/M sampled from a log-normal distribution with coefficient of variation (FMSY_cv)(uniform distribution)
BMSY_B0cvPersistent bias in the prescription of BMsY relative to unfished sampled from a log-normal distribution with coefficient of variation (BMSY_B0cv)(uniform distribution)
rcvPersistent bias in the prescription of intrinsic rate of increase sampled from a log-normal distribution with coefficient of variation (rcv)(uniform distribution)
LenMcvPersistent bias in the prescription of length at 50 percent maturity sampled from a log-normal distribution with coefficient of variation (A50cv)(uniform distribution)
DbiascvPersistent bias in the prescription of stock depletion sampled from a log-normal distribution with coefficient of variation (Linfcv)(uniform distribution)
DcvImprecision in the prescription of stock depletion among years, expressed as a coefficient of variation (uniform distribution)
BtbiasPersistent bias in the prescription of current stock biomass sampled from a uniform-log distribution with range (Btbias)(uniform distribution)
BtcvImprecision in the prescription of current stock biomass among years expressed as a coefficient of variation (uniform distribution)
FcurbiascvPersistent bias in the prescription of current fishing mortality rate sampled from a log-normal distribution with coefficient of variation (Fcurcv)(uniform distribution)
FcurcvImprecision in the prescription of current fishing mortality rate among years expressed as a coefficient of variation (uniform distribution)
hcvPersistent bias in steepness (uniform distribution)
IcvObservation error in realtive abundance index expressed as a coefficient of variation (uniform distirbution)
maxagecvBias in the prescription of maximum age (uniform distribution)
betaA 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)
ReccvBias in the knowledge of recent recruitment strength (uniform distribution)
IrefcvBias in the knowledge of the relative abundance index at BMSY (uniform distribution)
BrefcvBias in the knowledge of BMSY (uniform distribution)
CrefcvBias in the knowledge of MSY(uniform distribution)
Objects can be created by calls of the form
new('Obs')