version 0.4.0

Structural changes to FLQuant dimension naming were required to deal updates to FLR libraries. "age" is used as the name of the first dimension for both age-based and length-based components of an FLIBM class.

version 0.3.3

• cohort-FLIBM added. This simplified simulation function can be used alone to simulate a single cohort. The resulting object can be returned. ypr.FLIBM now serves as a wrapper for this function, allowing one to
  explore the effect of variable fishing mortality on a cohort.
• Minor changes to vignette building and README.md.

version 0.3.2

New features

  - `flquant2flq` replaces FLIBM2lfq. Input is now an FLQuant object
  for more flexibility.

version 0.3.1

New features

  - `fmsy.FLIBM` temporary results directory (`resDir`) uses R session-
  designated temporary directory (`tempdir()`)
  - Length at maximum cohort biomass (*Lopt*) added to output of 
  `ypr.FLIBM`

version 0.3.0

With this version, FLIBM object now holds inds within a single level list (obj$inds) with obj$inds$unit and obj$inds$area as individual variables. iter dimension is no longer used as multiple iterations drastically slow down the simulation. The new formulation will more easily allow for the definition of unit and area specific functions
(e.g. sex-specific growth, mortality etc.). A quick benchmark revealed a ca. 20% improvement in speed when advancing the stock under the new configuration.

version 0.2.0

New features

  - Default `create.FLIBM` and `grow.inds` functions were changed to 
  differentiate between population growth parameters 
  (e.g. `popLinf`, `popK`) and individual parameters. 
  This will save memory in the `$inds` object by not recording 
  parameters for which there is no variation among individuals.

version 0.1.2

New features

  - calcRefs function now calculates virgin SSB based on average of lowest 
  FM values. This allows for additional flexibility when addressing 
  stocasticity among similar values of maximum fishing mortality (`FM`).
  - `war.FLIBM` function added, allowing of the estimation of the width of 
  a given cohort's length distribution through time (i.e. width between 
  defined quantiles). The width at recruitment (WAR) is defined as the 
  width of the cohort's length distribution when the lower quantile 
  surpasses the length of recruitment to the fishery (`L50`).

version 0.1.1

This version contains a few minor changes to reference point functions, which allow more flexibility in setting of seed values.

version 0.1.0

initial tag