andrewthomasjones/logKDE: Computing Kernel Density Estimates in the Log Domain with a Wide Variety of Kernels
Version 0.1.0

logKDE efficiently computes kernel density estimates in the log domain for strictly positive distributions. Support is provided for a variety of kernels (gaussian, epanechnikov, triangular, uniform, laplace, and logistic).In addition it provides two new bandwdith estimators for use with strictly positive densities.

Getting started

Package details

AuthorHien D. Nguyen, Andrew T. Jones, and Geoffrey J. McLachlan
MaintainerAndrew T. Jones <[email protected]>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("andrewthomasjones/logKDE")
andrewthomasjones/logKDE documentation built on Oct. 13, 2017, 7:43 p.m.