[PAPER 1] add gumbel type for mle fit. add study_visualizer_for_shape_repartition both for gumbel VS stationary and stationary VS non-stationary

[PAPER 1]  add dpi=1000 to every plot from the paper for image quality. add some fix ylim when plotting return level for the Maurienne

[PAPER 1] improve uncertainty plot. fix eurocode value for the histogram. modify number of bayesian iterations to 20000 for uncertainty plot

[PAPER 1] fix gelman convergence score formula, take the variance instead of the std. improve bayesian display

[PAPER 1] add params_start_fit_bayesian for gelman convergence. add some random init param for the beginning of the MCMC chain.

[PAPER 1] refactor folder names in the paper snow load folder. add mani gelman convergence test. add the possibility to change the number of iterations for the bayesian fevd estimation

[PAPER 1] fix quantile for snow load in the case where psnow < 1 (i.e. for the mixed distribution case)

[PAPER 1] fix the code for taking the argmax of some value. add some new classes for making comparison between various snow variables

[PAPER 1] taking into account psnow when computing TDRL and also when computing return level uncertainties

[PAPER 1] refactor folder. enable in a single script to evaluate trends and return level uncertainty

[TREND ANALYSIS] put MLE extreme package method as default mle method for trend analysis. add aic score in trend analysis. start study_visualizer for non stationary trends.

[Thesis committee drawing] improve GEV non stationary plots.  rename ci_delta to ci_mle. catch some ci runtime exceptions. remove hatch/stripes drawing temporarily. fix unit for snow load. add new crocus classes & variable classes for snow load. modify conversion factor only for the new plots.

[Eurocode drawing] add grid. add function to compute the percentage of significant trend on an example

[CONFIDENCE INTERVAL] in the non stationary case, only the normal method is defined. in the stationary, i managed to add test the "boot" method. But for the "proflik" method there was a crash in R related to the spline, that i did not resolve

[CONFIDENCE INTERVAL] add confidence interval test for the normal (i.e. delta) confidence interval method

[CONFIDENCE INTERVAL] check that ci code return the same interval and mean posterior for the return level as my code with coordinates from 0 to 49. and also with transformed coordinates

[EXTREME ESTIMATOR] add test confidence interval. Add confidence interval with the ci method in the Bayesian case. add test for the stationary case. put the division by 100 (to get snow load) in eurocode vizualizer