Identify duplicated values in a sorted numeric vector, where comparison is
up to a specified numeric tolerance. If there is a run of values where each
consecutive pair is closer together than the tolerance, all are labeled as
duplicates even if not all values in the run are within the tolerance.
Creates a function that evaluates the probability density function of an
approximation to a distribution obtained by interpolating and extrapolating
from a set of quantiles of the distribution.
Creates a function that evaluates the cumulative distribution function of an
approximation to a distribution obtained by interpolating and extrapolating
from a set of quantiles of the distribution.
Creates a function that evaluates the quantile function of an approximation
to a distribution obtained by interpolating and extrapolating from a set of
quantiles of the distribution.
Creates a function that generates random deviates from an approximation
to a distribution obtained by interpolating and extrapolating from a set of
quantiles of the distribution.
Approximate density function, cdf, or quantile function on the interior of
provided quantiles by representing the distribution as a sum of a discrete
part at any duplicated qs and a continuous part for which the cdf is
estimated using a monotonic Hermite spline. See details for more.
Get unique values in a sorted numeric vector, where comparison is up to a
specified numeric tolerance. If there is a run of values where each
consecutive pair is closer together than the tolerance, all are labeled as
corresponding to a single unique value even if not all values in the run are
within the tolerance.