Package: tailloss 1.0

tailloss: Estimate the Probability in the Upper Tail of the Aggregate Loss Distribution

Set of tools to estimate the probability in the upper tail of the aggregate loss distribution using different methods: Panjer recursion, Monte Carlo simulations, Markov bound, Cantelli bound, Moment bound, and Chernoff bound.

Authors:Isabella Gollini [aut, cre], Jonathan Rougier [ctb]

tailloss_1.0.tar.gz
tailloss_1.0.zip(r-4.7-any)tailloss_1.0.zip(r-4.6-any)tailloss_1.0.zip(r-4.5-any)
tailloss_1.0.tgz(r-4.6-any)tailloss_1.0.tgz(r-4.5-any)
tailloss_1.0.tar.gz(r-4.7-any)tailloss_1.0.tar.gz(r-4.6-any)
tailloss_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tailloss/json (API)

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

Bug tracker:https://github.com/igollini/tailloss/issues

Datasets:

On CRAN:

Conda:

2.85 score 1 stars 14 scripts 215 downloads 9 exports 1 dependencies

Last updated from:3a0efeab34. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK89
source / vignettesOK133
linux-releaseOK98
macos-releaseOK149
macos-oldrelOK179
windows-develOK69
windows-releaseOK55
windows-oldrelOK64
wasm-releaseOK74

Exports:compressELTELTfCantellifChernofffMarkovfMomentfMonteCarlofPanjerzoombox

Dependencies:MASS