| 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 variance of log-residuals.
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 1.3-3
Index]