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logKDE  

Computing Log-Transformed Kernel Density Estimates for Positive Data
View on CRAN: Click here


Download and install logKDE package within the R console
Install from CRAN:
install.packages("logKDE")

Install from Github:
library("remotes")
install_github("cran/logKDE")

Install by package version:
library("remotes")
install_version("logKDE", "0.3.2")



Attach the package and use:
library("logKDE")
Maintained by
Andrew Thomas Jones
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-25
Latest Update: 2018-08-09
Description:
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) .
How to cite:
Andrew Thomas Jones (2018). logKDE: Computing Log-Transformed Kernel Density Estimates for Positive Data. R package version 0.3.2, https://cran.r-project.org/web/packages/logKDE
Previous versions and publish date:
0.1.0 (2018-04-25 12:21), 0.3.0 (2018-07-23 14:10), 0.3.1 (2018-07-24 11:00)
Other packages that cited logKDE R package
View logKDE citation profile
Other R packages that logKDE depends, imports, suggests or enhances
Functions, R codes and Examples using the logKDE R package
Some associated functions: bw.logCV . bw.logG . logdensity . logdensity_fft . 
Some associated R codes: RcppExports.R . logKDE.R .  Full logKDE package functions and examples
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