This is the newest member of the spatstat package family.
It contains code for estimation of univariate probability distributions,
including:
- weighted distributions and weighted statistics including weighted empirical cumulative distributions, weighted median, weighted quantiles, calculating the CDF from a density estimate;
- estimation for right-censored data including Kaplan-Meier, reduced-sample and other estimators of the cumulative distribution function and hazard function from right-censored data;
- quantiles including calculation of quantiles from an empirical cumulative distribution or a kernel density estimate;
- kernel density estimation for one dimensional probability densities, including fixed- and variable-bandwidth kernel estimators, and boundary corrections for densities restricted to the positive half-line;
- kernels including calculation of the probability density, cumulative distribution function, quantiles, random generation, moments and partial moments of the standard smoothing kernels;
- heat kernel: calculation of the one-dimensional heat kernel in an interval;
- integration: Numerical integration including Stieltjes integrals and indefinite integrals.
Some of the code has been extracted from spatstat.geom,
spatstat.random and spatstat.explore, while some is new.