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:
simukde_1.3.0.tar.gz
simukde_1.3.0.zip(r-4.7)simukde_1.3.0.zip(r-4.6)simukde_1.3.0.zip(r-4.5)
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✨
card.svg |card.png
simukde/json (API)
NEWS
| # 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
Last updated from:28a2657773. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 129 | ||
| source / vignettes | OK | 176 | ||
| linux-release-x86_64 | OK | 140 | ||
| macos-release-arm64 | OK | 145 | ||
| macos-oldrel-arm64 | OK | 162 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 91 | ||
| windows-oldrel | OK | 92 | ||
| wasm-release | OK | 130 |
Exports:find_best_fitsimulate_kde
Dependencies:FNNkernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnlmepracmaRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Find The Best Fitting Distribution | find_best_fit |
| Simulation with Kernel Density Estimation | simukde |
| Simulation with Kernel Density Estimation | simulate_kde |