Well, there isn't one, at least not yet. KernelDensity.jl (https://github.com/JuliaStats/KernelDensity.jl) can handle univariate and bivariate data, but only continuous variables.
>From what I can tell, the python one handles discrete data by just separating the data, so you could to that manually? s On Thursday, 26 February 2015 02:10:31 UTC, Arshak Navruzyan wrote: > > Hello, > > I am looking for a Multivariate Kernel Density Estimator that can support > both mixed Continuous and Discrete variables similar to this Python > implementation > > > > http://statsmodels.sourceforge.net/devel/generated/statsmodels.nonparametric.kernel_density.KDEMultivariate.html > > Thank you, > > Arshak >
