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-4.5)simukde_1.3.0.zip(r-4.4)simukde_1.3.0.zip(r-4.3)
simukde_1.3.0.tgz(r-4.4-any)simukde_1.3.0.tgz(r-4.3-any)
simukde_1.3.0.tar.gz(r-4.5-noble)simukde_1.3.0.tar.gz(r-4.4-noble)
simukde_1.3.0.tgz(r-4.4-emscripten)simukde_1.3.0.tgz(r-4.3-emscripten)
simukde.pdf |simukde.html✨
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 4 years agofrom:28a2657773. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
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 |