Package: AsyK 1.5.6

AsyK: Kernel Density Estimation

A collection of functions related to density estimation by using Chen's (2000) idea. Mean Squared Errors (MSE) are calculated for estimated curves. For this purpose, R functions allow the distribution to be Gamma, Exponential or Weibull. For details see Chen (2000), Scaillet (2004) <doi:10.1080/10485250310001624819> and Khan and Akbar.

Authors:Javaria Ahmad Khan [aut, cre], Atif Akbar. [aut]

AsyK_1.5.6.tar.gz
AsyK_1.5.6.zip(r-4.7-any)AsyK_1.5.6.zip(r-4.6-any)AsyK_1.5.6.zip(r-4.5-any)
AsyK_1.5.6.tgz(r-4.6-any)AsyK_1.5.6.tgz(r-4.5-any)
AsyK_1.5.6.tar.gz(r-4.7-any)AsyK_1.5.6.tar.gz(r-4.6-any)
AsyK_1.5.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AsyK/json (API)

# Install 'AsyK' in R:
install.packages('AsyK', repos = c('https://jahmadkhan.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 487 downloads 4 exports 0 dependencies

Last updated from:df2ae6ca42. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK110
source / vignettesOK159
linux-releaseOK100
macos-releaseOK127
macos-oldrelOK143
windows-develOK54
windows-releaseOK55
windows-oldrelOK45
wasm-releaseOK85

Exports:LaplacemseNSRRIG

Dependencies: