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]