Package: lognGPD 0.1.0

lognGPD: Estimation of a Lognormal - Generalized Pareto Mixture

Estimation of a lognormal - Generalized Pareto mixture via the Expectation-Maximization algorithm. Computation of bootstrap standard errors is supported and performed via parallel computing. Functions for random number simulation and density evaluation are also available. For more details see Bee and Santi (2025) <doi:10.48550/arXiv.2505.22507>.

Authors:Marco Bee [aut, cre]

lognGPD_0.1.0.tar.gz
lognGPD_0.1.0.zip(r-4.7-any)lognGPD_0.1.0.zip(r-4.6-any)lognGPD_0.1.0.zip(r-4.5-any)
lognGPD_0.1.0.tgz(r-4.6-any)lognGPD_0.1.0.tgz(r-4.5-any)
lognGPD_0.1.0.tar.gz(r-4.7-any)lognGPD_0.1.0.tar.gz(r-4.6-any)
lognGPD_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
lognGPD/json (API)

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

Bug tracker:https://github.com/marco-bee/logngpd/issues

On CRAN:

Conda:

2.70 score 3 scripts 196 downloads 7 exports 24 dependencies

Last updated from:c439f29cf0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK114
source / vignettesOK158
linux-releaseOK121
macos-releaseOK77
macos-oldrelOK94
windows-develOK94
windows-releaseOK62
windows-oldrelOK83
wasm-releaseOK113

Exports:dlognGPDdlognParetoEMBootEMlogngpdmixrlognGPDrlognParetoweiGpdLik

Dependencies:clicpp11EnvStatsevdfarverggplot2gluegtableisobandlabelinglifecycleLNParMASSnortestR6rbibutilsRColorBrewerRdpackrlangS7scalesvctrsviridisLitewithr