Test on 10 scenarios !

+ some minor eolpop-package cleaning

We don't include newborns (age class 1) into the population count.

Also modified "pop_project" functions accordingly

Made expert-elicitation distri plots look nicer

Created function run_simul_shiny

Added choice of model_demo inside the run_simul function using the set of decisions rules based on :
* lambda (growth vs decline) for DD
* lambda and N0 (small vs large pop) for StochDemo

Updated other functions accrodingly

1- Change ref pop size min = 0 by min = 30
Thus modified
  N_ref[N_ref == 0] <- NaN
   by
  N_ref[N_ref < 30] <- NaN

2- added warning message (if too many iterations with N_ref < 30)

3- updated description

Updated plot_impact accordingly

Added imports (magrittr, popbio) to models M3 and M4 functions

Added piece "%>% sapply(min, 0.999)" in M3 and M4 to avoid survival parameter > 1.
Also added this in 'init_calib' function.

All models tested and work.

It works well but it's slow because of the optim procedure : lam_Nt > calibrate vr > Leslie matrix as f(Nt)

changed name survival_mean > survivals
changed name fecundities_mean > fecundities

devtools : added package on Git