Disake: Discrete associated kernel estimators

Discrete smoothing of probability mass function is performed using three discrete associated kernels: Dirac Discrete Uniform (DiracDU), Binomial and Discrete Triangular. Two automatic bandwidth selection procedures are implemented: the cross-validation method for the three kernels and the local Bayesian approach for Binomial kernel. Note that DiracDU is used for categorical data, Binomial kernel is appropriate for count data with small or moderate sample sizes, and Discrete Triangular kernel is recommended for count data with large sample sizes.

Version: 1.5
Published: 2015-01-26
Author: W. E. Wansouwé, C. C. Kokonendji and D. T. Kolyang
Maintainer: W. E. Wansouwé <ericwansouwe at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: www.r-project.org
NeedsCompilation: no
CRAN checks: Disake results

Downloads:

Reference manual: Disake.pdf
Package source: Disake_1.5.tar.gz
Windows binaries: r-devel: Disake_1.5.zip, r-release: Disake_1.5.zip, r-oldrel: Disake_1.5.zip
OS X El Capitan binaries: r-release: Disake_1.5.tgz
OS X Mavericks binaries: r-oldrel: Disake_1.5.tgz
Old sources: Disake archive

Linking:

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