### TropFishR 1.6

##### New features
  - The Length-based Bayesian biomass estimator method (LBB) by
Froese et al. (2018) has been added to the package.
- Improved implementation of compilation of length-frequency
data allowing for faster compilation of lfq data with
lfqCreate and lfqModify (with argument bin_size) and allowing
compilation of large data sets
- New possibilities to easily modify length-frequency data
objects by means of "lfqModify", including aggregating catch
matrix per year, per quarter, or per month, subsetting lfq
data with range of length classes or sampling dates
##### Documentation
  - A new vignette "LBBmanual" with the introduction and
demonstration of LBB within TropFishR has been added.

##### Bug fixes
  - Seasonal growth parameters are now added correctly to the lfq
object in lfqModify



### TropFishR 1.2.1

##### Documentation
  - A new vignette has been added to the package. The vignette "ELEFANTutorial" outlines
all ELEFAN functions available in TropFishR in detail.


##### Bug fixes
  - The ELEFAN functions did not overwrite any element of the lfq object but instead
concatinated parameters onto the object. This can have unintended side effects, e.g. if several
growth parameters are saved in the lfq object and the plotting functions are called.
Now, the application of ELEFAN functions overwrites any growth parameters in the lfq object.

### TropFishR 1.2

##### New features
  - Due to more efficient matrix computations ELEFAN is 2-4 times faster as before
- missing seed values were added in ELEFAN_GA()
- plot.lfq() allows plotting relative frequencies, this is
in particular useful in cases where one sampling time has a large number of samples
- plot.catchCurve() allows plotting results according to length rather
than relative age. This can be done with the argument xaxis.
- lfq plot can be used to plot 2 different lfq data sets; this allows to visually compare the two data sets
- lfqModfiy() allows combining two different lfq data sets. This
might be interesting when different fleets are investigated separately
- possible to define and plot multiple regression lines
in the catch curve analysis
- length converted catch curve can account for the seasonalized VBGF
##### User-visible changes
  - better control over graphical devices with par(),
when par() defined the default settings are not used
- growth parameters can now be added to lfq lists as "par" elements, this
is convenient as it is in line with the results of the ELEFAN methods
##### Documentation
  - new vignette with a short description of lfq data and
how to import lfq data into R
- updated tutorial vignette
- document with news and changes about package version was added
  - crash report of ELEFAN_GA with interactive sessions (Rstudio) fixed
- beep sound was causing R crashes on windows computers and was therefore removed