Package: bootruin 1.2-4

bootruin: A Bootstrap Test for the Probability of Ruin in the Classical Risk Process

We provide a framework for testing the probability of ruin in the classical (compound Poisson) risk process. It also includes some procedures for assessing and comparing the performance between the bootstrap test and the test using asymptotic normality.

Authors:Benjamin Baumgartner <[email protected]>, Riccardo Gatto <[email protected]>

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bootruin.pdf |bootruin.html
bootruin/json (API)

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 264 downloads 4 exports 0 dependencies

Last updated 8 years agofrom:fa071e12b2. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:pvaldenspvaldistanceruinprobruinprob.test

Dependencies: