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) <doi:10.21105/joss.00870>.

Version: 0.3.2
Imports: Rcpp, pracma
LinkingTo: Rcpp
Suggests: R.rsp, testthat
Published: 2018-08-09
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


Reference manual: logKDE.pdf
Vignettes: logKDE
Package source: logKDE_0.3.2.tar.gz
Windows binaries: r-prerelease: logKDE_0.3.2.zip, r-release: logKDE_0.3.2.zip, r-oldrel: logKDE_0.3.2.zip
macOS binaries: r-prerelease: logKDE_0.3.2.tgz, r-release: logKDE_0.3.2.tgz, r-oldrel: logKDE_0.3.2.tgz
Old sources: logKDE archive


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