Multivariate Generalized Kernel Smoothing and Related Statistical Methods

Mass functions, density functions, distribution functions and quantile functions via continuous kernel smoothing, and to a lesser extent, discrete kernel smoothing. Also, supports categorical distributions and smooth empirical-like distributions. There are univariate, multivariate and conditional distributions, including multivariate-conditional distributions and conditional distributions with mixed input types, along with functions for plotting univariate, bivariate and trivariate distributions. Conditional categorical distributions with mixed input types can be used for statistical classification purposes. And there are extensions for computing multivariate probabilities, multivariate random numbers, moment-based statistics, robust-based statistics and mode estimates.


Reference manual

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0.3.1 by Abby Spurdle, 3 months ago

Browse source code at

Authors: Abby Spurdle

Documentation:   PDF Manual  

Task views: Probability Distributions

GPL (>= 2) license

Imports intoo, barsurf, kubik

Suggests vectools, bivariate, fclust, scatterplot3d

Suggested by bivariate.

See at CRAN