Comments (2)
You might just point folks to https://sefffal.github.io/PairPlots.jl/dev/guide/
from copulas.jl.
@alecloudenback Yes this is the kind of stuff I want in the package extension, the ideal plot here would be:
- bottom triangle plots bivariate contours on the rank scale [0,1]^2
- upper triangle plots bivariate contours on the z-scale (standard Gaussian marginals)
- (for
plot(::SklarDist)
) The diagonal represents the marginal densities with aplot(::UnivariateDistribution)
, e.g. the one from StatsPlots. - (for
plot(::Copula)
) Diagonal elements are TBD, maybe simply variable names ? or something else ?
but also alike BivariateCopulas.jl, using StatsPlots there should be a possibility to plot bivariate densities.
If PairsPlots.jl can be used here, then perfect. For other plotting of dataframes, I will indeed point out to PairsPlots.jl I think.
from copulas.jl.
Related Issues (20)
- [Docs] Typo HOT 1
- [New feature] Conditionning HOT 5
- [New feature] Rosenblatt (and inverse) transformations HOT 3
- [Docs] Reorganize the docs
- [After Paper] Update citations guidelines
- Something wrong with this reference? HOT 3
- Can you recognize this one? HOT 1
- [New feature] Faster sampling for small-dimensional cops
- [Docs] up documenter
- Σ field from ArchimedeanCopula removed in patch release HOT 18
- [bug] Change from Id check to diagonal check
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- [feature] Write a proper Bijector for Turing
- LoadError: UndefVarError (in combination with popular CairoMakie?) HOT 9
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- [Docs] Modify CI to check up the docs on PR's
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from copulas.jl.