Package: wbsd 1.0.0

David Preinerstorfer

wbsd: Wild Bootstrap Size Diagnostics

Implements the diagnostic "theta" developed in Poetscher and Preinerstorfer (2020) "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?" <arxiv:2005.04089>. This diagnostic can be used to detect and weed out bootstrap-based procedures that provably have size equal to one for a given testing problem. The implementation covers a large variety of bootstrap-based procedures, cf. the above mentioned article for details. A function for computing bootstrap p-values is provided.

Authors:David Preinerstorfer

wbsd_1.0.0.tar.gz
wbsd_1.0.0.tar.gz(r-4.5-noble)wbsd_1.0.0.tar.gz(r-4.4-noble)
wbsd_1.0.0.tgz(r-4.4-emscripten)wbsd_1.0.0.tgz(r-4.3-emscripten)
wbsd.pdf |wbsd.html
wbsd/json (API)
NEWS

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

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

1.00 score 102 downloads 2 exports 2 dependencies

Last updated 4 years agofrom:5dce160100. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-linux-x86_64OKOct 12 2024

Exports:boot.pvaltheta

Dependencies:RcppRcppEigen