Package: simukde 1.3.0

MAKHGAL Ganbold

simukde: Simulation with Kernel Density Estimation

Generates random values from a univariate and multivariate continuous distribution by using kernel density estimation based on a sample. Duong (2017) <doi:10.18637/jss.v021.i07>, Christian P. Robert and George Casella (2010 ISBN:978-1-4419-1575-7) <doi:10.1007/978-1-4419-1576-4>.

Authors:MAKHGAL Ganbold [aut, cre], BAYARBAATAR Amgalan [aut]

simukde_1.3.0.tar.gz
simukde_1.3.0.zip(r-4.7-any)simukde_1.3.0.zip(r-4.6-any)simukde_1.3.0.zip(r-4.5-any)
simukde_1.3.0.tgz(r-4.6-any)simukde_1.3.0.tgz(r-4.5-any)
simukde_1.3.0.tar.gz(r-4.7-any)simukde_1.3.0.tar.gz(r-4.6-any)
simukde_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
simukde/json (API)

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

Bug tracker:https://github.com/galaamn/simukde/issues

On CRAN:

Conda:

statistics

3.48 score 2 stars 1 packages 10 scripts 283 downloads 2 exports 14 dependencies

Last updated from:28a2657773. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK167
linux-releaseOK113
macos-releaseOK151
macos-oldrelOK128
windows-develOK89
windows-releaseOK69
windows-oldrelOK75
wasm-releaseOK84

Exports:find_best_fitsimulate_kde

Dependencies:FNNkernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnlmepracmaRcpp