logKDE: Computing Log-Transformed Kernel Density Estimates for Positive Data

Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods described in Jones, Nguyen and McLachlan (2018) <arXiv:1804.08365>.

Version: 0.1.0
Imports: Rcpp, pracma
LinkingTo: Rcpp
Published: 2018-04-25
Author: Hien D. Nguyen, Andrew T. Jones, and Geoffrey J. McLachlan
Maintainer: Andrew Thomas Jones <andrewthomasjones at gmail.com>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: logKDE results

Downloads:

Reference manual: logKDE.pdf
Package source: logKDE_0.1.0.tar.gz
Windows binaries: r-devel: logKDE_0.1.0.zip, r-release: logKDE_0.1.0.zip, r-oldrel: logKDE_0.1.0.zip
OS X binaries: r-release: logKDE_0.1.0.tgz, r-oldrel: logKDE_0.1.0.tgz

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