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>.

Version: 1.3.0
Depends: R (≥ 2.14.0)
Imports: ks, mvtnorm, parallel, stats, MASS, methods
Suggests: testthat, datasets
Published: 2021-05-20
Author: MAKHGAL Ganbold [aut, cre], BAYARBAATAR Amgalan [aut]
Maintainer: MAKHGAL Ganbold <makhgal at seas.num.edu.mn>
BugReports: https://github.com/galaamn/simukde/issues
License: GPL (≥ 3) | file LICENSE
URL: https://github.com/galaamn/simukde
NeedsCompilation: no
Citation: simukde citation info
Materials: README NEWS
CRAN checks: simukde results

Documentation:

Reference manual: simukde.pdf

Downloads:

Package source: simukde_1.3.0.tar.gz
Windows binaries: r-devel: simukde_1.3.0.zip, r-release: simukde_1.3.0.zip, r-oldrel: simukde_1.3.0.zip
macOS binaries: r-release (arm64): simukde_1.3.0.tgz, r-oldrel (arm64): simukde_1.3.0.tgz, r-release (x86_64): simukde_1.3.0.tgz, r-oldrel (x86_64): simukde_1.3.0.tgz
Old sources: simukde archive

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