probhat: Multivariate Generalized Kernel Smoothing and Related Statistical Methods

Constructs, plots and evaluates probability distributions (probability mass/density functions, cumulative distribution functions and quantile functions) with continuous kernel smoothing, and to a lesser extent, discrete kernel smoothing. Supports univariate, multivariate and conditional distributions, including multivariate-conditional distributions. Also, supports other probability distributions (categorical, frequency and empirical-like) and weighted data, which is possibly useful mixed with fuzzy clustering. Furthermore, there are extensions for computing multivariate probabilities and multivariate random numbers, and for parameter and mode estimation.

Version: 0.2.0
Imports: intoo, barsurf, kubik
Suggests: bivariate, fclust, scatterplot3d, MASS
Published: 2019-12-09
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://sites.google.com/site/spurdlea/r
NeedsCompilation: no
In views: Distributions
CRAN checks: probhat results

Downloads:

Reference manual: probhat.pdf
Vignettes: Multivariate Generalized Kernel Smoothing and Related Statistical Methods
Kernel Reference Sheet
Package source: probhat_0.2.0.tar.gz
Windows binaries: r-devel: probhat_0.2.0.zip, r-release: probhat_0.2.0.zip, r-oldrel: probhat_0.2.0.zip
macOS binaries: r-release: probhat_0.2.0.tgz, r-oldrel: probhat_0.2.0.tgz
Old sources: probhat archive

Reverse dependencies:

Reverse suggests: bivariate

Linking:

Please use the canonical form https://CRAN.R-project.org/package=probhat to link to this page.