to do list

[elisvb]

Potential improvements to be made, following the comments from the framework meeting and discussions after:

• An option could be added to look at an alternative option (e.g., weight by sample size)
  -> decided not to do this for now (added layer of complexity with limited importance)
• Assure the LF props always sum to one
• minimal number of fish as a threshold
• weigh the samples the Hugues way
  -> will not do this. ends up model like, cannot be done "blindly" in a function.
  -> could weigh in function of the hierarchical level used?? arbitrary but perhaps interesting sensitivity run.
• resolve the 'AL vs LF' mismatch
• add plot functions for quality control directly in the package
• add the spay/spya functions
• standard errors for weight-and length-at-age (though this would not include 'bad sampling')
• add matrix smoothing model
• possibility to use get.samples only for length-frequencies, or to have lf and al being the same (no subsample)
• Make Demo (within package or as external Rproject)
• parallel funcitonality
• testthat so to make sure metadata is all of the same encoding