probhat: Generalized Kernel Smoothing

Computes nonparametric probability distributions (probability density functions, cumulative distribution functions and quantile functions) using kernel smoothing. Supports univariate, multivariate and conditional distributions, and weighted data (possibly useful mixed with fuzzy clustering or frequency data). Also, supports empirical continuous cumulative distribution functions and their inverses, and random number generation.

Version: 0.1.1
Depends: graphics, stats
Imports: barsurf
Suggests: intoo, bivariate, mvtnorm, fclust, moments, scatterplot3d
Published: 2019-03-05
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Distributions
CRAN checks: probhat results


Reference manual: probhat.pdf
Vignettes: Generalized Kernel Smoothing
Package source: probhat_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: probhat_0.1.1.tgz, r-oldrel: probhat_0.1.1.tgz


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