FLSR-class {FLCore}R Documentation

Class FLSR

Description

A class for stock-recruitment data and models

Objects from the Class

Objects can be created by calls of the form new("FLSR", ...) or through the constructor function FLSR().

Slots

name:
the name of the stock.
desc:
a description of the data.
model:
name of the stock recruitment relationship used in the model.
error:
a description of the error distribution used in the model.
ssb:
a FLQuant object with Spawning Stock Biomass data.
r:
a FLQuant object with recruitment data.
rhat:
a FLQuant object with estimated recruitment.
residuals:
a FLQuant object with recruitment residuals.
params:
a matrix containing the parameters of the SR relationship.
se:
a numeric vector containing the standard error of the SR parameters.
covar:
the covariance matrix of the SR parameters.
var:
the residual variance.
vara:
the residual variance after auto-correlation has been taken out.
aic:
the Akaike Information Criterion index.
mcmc:
a list with all the MCMC information required for the Bayesian runs.

Methods

plot
FLSR: ...
predict
FLSR, ssb: Predicts recruitment values from the model parameters estimates contained in an FLSR object, and an SSB value. If ssb is of class FLQuant, predict returns another FLQuant. If a numeric vector is input, a vector of the same length is returned.
summary
FLSR: ...
params
FLSR: returns the matrix of stock-recruit parameter values.
sr
FLSR: ...

Author(s)

FLR Team

See Also

FLStock-class

Examples






[Package FLCore version 1.1 Index]