[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

[EXTREME ESTIMATOR] Add MLE extreme estimator. refactor test gev temporal extremes. move confidence interval results

[EUROCODE GRAPH] update burn in percentage to 0.5 (update test). delete test region eurocode. update eurocode graph.

[EUROCODE DATA] improve display for the eurocode return level graphs. rename linear margin temporal models.

[TEMPORAL LINEAR MARGIN][BAYESIAN ESTIMATION] modify fevd_fixed prior to ensure that prior is always applied on the shape parameter. add multiprocessing for eurocode return level uncertainty. add option to specify a last year for eurocode uncertainty computation.

[TEMPORAL LINEAR MARGIN][BAYESIAN ESTIMATION] add fevdPriorCustom as prior for the fit. update test accordingly. add non stationary version of fevD both in R and also in python. add test for that in python. modify upper and bottom quantile for eurocode

[EUROCODE][DRAWING PER REGION] modify test region eurocode. add test_ gev temporal bayesian. add stationary version for the Bayesian. refactor utils at the root, to root_uils to avoid weird import issues.

[EXTREME ESTIMATOR] refactor margin_fits folder. extreme estimator folder. and extreme_models folder

[EXTREME ESTIMATOR][MARGIN MODEL] refactor linear margin model folder organization. refactor names in univariate trend analysis

[EXTREME ESTIMATOR][GEV MARGIN FIT][BAYESIAN] add fevd.R to use fedv package in the Bayesian mode. Also, fix fevd method, by creating my own method "myfevd" that avoid code crash when using mode use.phi=FALSE

[TREND ANALYSIS] add verbose argument when creating hypercube visualizer. add shape analysis from the MLE estimator, and the shapes are indeed between -0.4 and 0.4

[TREND ANALYSIS] add boolean that accept scale 0 parameter that enables to compute easily some mean difference where scale1 is zero

[TREND ANALYSIS] add likely ratio test between non-stationary models. To produce maps to show that the model with both linearities is significantly better than the simpler ones.

[POSTER EVAN] improve visualization of the starting years for the poster. some refactorign for the Alps graph and cmap, from now on, we will only remove the last 20 starting years

[DATA EXTRACTION] add all_days & all_daily_series property, that was useful to extract some data of snow depth for taline

[PAPER1][STARTING YEAR] write main for location & scale with common starting year spatially & altitude