This function is deprecated and are being kept for testing purposes.
It is replaced by ParameterizeRecaModels and RunRecaModels
Arguments
- RecaData
RecaDataas 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.estimatebefore 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.estimateandeca.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.