Reconstruct a Distribution from a Collection of Quantiles
Identify duplicated values in a sorted numeric vector, where compariso...
Get indices of starts and ends of runs of duplicate values
Creates a function that evaluates the probability density function of ...
Creates a function that evaluates the cumulative distribution function...
Creates a function that evaluates the quantile function of an approxim...
Creates a function that generates random deviates from an approximatio...
Create a polySpline object representing a monotonic Hermite spline int...
Approximate density function, CDF, or quantile function on the interio...
Split ps and qs into those corresponding to discrete and continuous pa...
A factory that returns a function that performs linear interpolation, ...
Get unique values in a sorted numeric vector, where comparison is up t...
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.