This function is deprecated and are being kept for testing purposes.
It is replaced by ParameterizeRecaModels
and RunRecaModels
Arguments
- RecaData
RecaData
as returned fromPrepareRecaEstimate
- Nsamples
number of MCMC samples that will be made available for
eca.predict
. See documentation foreca.estimate
,- Burnin
number of MCMC samples run and discarded by
eca.estimate
before any samples are saved. See documentation foreca.estimate
.- Thin
controls how many iterations are run between each samples saved. Defaults to 0. This may be set to account for autocorrelation introduced by Metropolis-Hastings simulation. see documentation for
eca.estimate
- Lgamodel
The length age relationship to use for length-age fits (options: "log-linear", "non-linear": Schnute-Richards model). See documentation for
eca.estimate
.- Resultdir
a directory where Reca may store temp-files
eca.estimate
andeca.predict
. . If not given a temporary directory will be created. See documentation foreca.estimate
.- Delta.age
see documentation for
eca.estimate
. Defaults to 0.001.- Seed
see documentation for
eca.estimate
. Defaults to random seed.- Caa.burnin
see documentation for
eca.predict
. Defaults to 0.
Value
RecaResult
results from Reca run.
Details
eca.estimate
performs Markov-chain Monte Carlo (MCMC) simulations to determine maximum likelihood of parameters for the given samples.
eca.predict
samples the posterior distributions of parameters estimated in eca.estimate
,
in order to obtain proportions of catches and fish parameters.
Using these parameters and the given total landings, predictions of distribution of catch-parameter distributions will be calculated.
If resultdir is NULL, a temporary directory will be created for its purpose. This will be attempted removed after execution. If removal is not successful a warning will be issued which includes the path to the temporary directory.