You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Using this module for the first time, there are a few things that I think that we should improve:
For the confidence interval, there should a choice between returning 3 variables (as we currently do) and combining them under a new dimension quantile (e.g. [0.05, 0.50, 0.95]).
We should implement a way to compute multiple return levels at once, since in its current form, we'd need to completely recompute the fit every time.
Related to this, we should find a way to use the parameters computed using fit to compute return levels, even if that's not possible with Extremes.jl. Can we simply use xhfa.local.parametric_quantiles? Would that work with the confidence intervals?
Addressing a Problem?
Using this module for the first time, there are a few things that I think that we should improve:
quantile(e.g. [0.05, 0.50, 0.95]).fitto compute return levels, even if that's not possible withExtremes.jl. Can we simply usexhfa.local.parametric_quantiles? Would that work with the confidence intervals?Additional context
@ospinajulian
Contribution