predict.fcs2Fit: Predicted Total Catch
In aquaMetrics/fcs2: Fisheries Classification Scheme 2 For SNIFFER

Calculates the expected total catch over all runs for a range of surveys, as predicted by a fitted FCS2 model.

1 2	## S3 method for class 'fcs2Fit' predict(object, newData, subset = 1:nrow(newData), na.action, mu, rho, ...)

`object`	an `"fcs2Fit"` object containing a full FCS2 model object, as returned from `fcs2FitModel` with `runBUGS = TRUE`.
`newData`	a data frame with surveys as rows and variables as columns. It should contain all variables required by `object`.
`subset`	an optional vector specifying a subset of surveys to calculate the predicted total catch for.
`na.action`	a function which indicates what should happen when the data contain missing values (`NA`s). The default is set by the `na.action` setting of `options` and this is usually set to `na.omit`. This setting removes surveys that contain missing data in any required variables. A vector indicating the rows that were removed can be extracted from the returned object using `na.action`. Alternatively, `na.pass` can be used to ignore missing values (where possible) or `na.fail` can be given to signal an error if missing values are found.
`mu`	a matrix of posterior samples of the abundance component μ can optionally be given to save recalculation if already available. This is assumed to have been calculated from `abundance` using the same arguments as above.
`rho`	a matrix of posterior samples of the prevalence component ρ can optionally be given to save recalculation if already available. This is assumed to have been calculated from `prevalence` using the same arguments as above.
`...`	Not currently used.