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
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tailloss_1.0.tgz(r-4.4-any)tailloss_1.0.tgz(r-4.3-any)
tailloss_1.0.tar.gz(r-4.5-noble)tailloss_1.0.tar.gz(r-4.4-noble)
tailloss_1.0.tgz(r-4.4-emscripten)tailloss_1.0.tgz(r-4.3-emscripten)
tailloss.pdf |tailloss.html
tailloss/json (API)

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

Peer review:

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

Datasets:

On CRAN:

9 exports 2 stars 0.83 score 1 dependencies 12 scripts 112 downloads

Last updated 9 years agofrom:3a0efeab34. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winOKSep 02 2024
R-4.5-linuxOKSep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 2024

Exports:compressELTELTfCantellifChernofffMarkovfMomentfMonteCarlofPanjerzoombox

Dependencies:MASS