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Given a set of predictive quantiles from a distribution, estimate the
distribution and create d
, p
, q
,
and r
functions to evaluate its density function,
distribution function, and quantile function, and generate random
samples. On the interior of the provided quantiles, an interpolation
method such as a monotonic cubic spline is used; the tails are
approximated by a location-scale family.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.