Package: gk 0.6.0
gk: g-and-k and g-and-h Distribution Functions
Functions for the g-and-k and generalised g-and-h distributions.
Authors:
gk_0.6.0.tar.gz
gk_0.6.0.zip(r-4.5)gk_0.6.0.zip(r-4.4)gk_0.6.0.zip(r-4.3)
gk_0.6.0.tgz(r-4.4-any)gk_0.6.0.tgz(r-4.3-any)
gk_0.6.0.tar.gz(r-4.5-noble)gk_0.6.0.tar.gz(r-4.4-noble)
gk_0.6.0.tgz(r-4.4-emscripten)gk_0.6.0.tgz(r-4.3-emscripten)
gk.pdf |gk.html✨
gk/json (API)
| # Install 'gk' in R: |
| install.packages('gk', repos = c('https://dennisprangle.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dennisprangle/gk/issues
Last updated 1 years agofrom:3864f55f66. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 11 2024 |
| R-4.5-win | OK | Sep 11 2024 |
| R-4.5-linux | OK | Sep 11 2024 |
| R-4.4-win | OK | Sep 11 2024 |
| R-4.4-mac | OK | Sep 11 2024 |
| R-4.3-win | OK | Sep 11 2024 |
| R-4.3-mac | OK | Sep 11 2024 |
Exports:abcdghdgkfdsafximproper_uniform_log_densityisValidmcmcorderstatspghpgkqghqgkrghrgk
Dependencies:ashaskpassbitopsBMAcliclustercolorspacecpp11crayoncurlDEoptimRdeSolveEcdatEcfunfansifarverfdafdsFNNgenericsggplot2gluegtablehdrcdehmshttrinlineisobandjpegjsonlitekernlabKernSmoothkslabelinglatticeleapslifecyclelocfitlubridatemagrittrMASSMatrixmclustmgcvmimemulticoolmunsellmvtnormnlmeopensslpcaPPpillarpkgconfigpracmaprettyunitsprogressR6rainbowRColorBrewerRcppRCurlrlangrobustbaserrcovrvestscalesselectrstringistringrsurvivalsysTeachingDemostibbletimechangetisutf8vctrsviridisLitewithrxml2
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Approximate Bayesian computation inference | abc |
| Single batch of ABC | abc_batch |
| g-and-h distribution functions | dgh g-and-h pgh qgh rgh |
| g-and-k distribution functions | dgk g-and-k pgk qgk rgk |
| Finite difference stochastic approximation inference | fdsa |
| Exchange rate example | fx |
| Improper uniform log density | improper_uniform_log_density |
| Check validity of g-and-k or g-and-h parameters | isValid |
| Markov chain Monte Carlo inference | mcmc |
| Convert octiles to moment estimates | momentEstimates |
| Order statistics | orderstats |
