1 Branch 5 Tags

Name		Name	Last commit message	Last commit date
Latest commit liaochris fixed problem with np.NaN #26 (#27 ) Jul 11, 2024 0d0710c · Jul 11, 2024 History 15 Commits
.github/workflows		.github/workflows	fixed problem with np.NaN #26 (#27 )	Jul 11, 2024
examples		examples	PR for #22 : deploy shiny (#23 )	Dec 4, 2023
shiny		shiny	PR for #22 : deploy shiny (#23 )	Dec 4, 2023
src/BootstrapReport		src/BootstrapReport	fixed problem with np.NaN #26 (#27 )	Jul 11, 2024
tests		tests	PR for #18 : Update package structure for compatability with Shiny (#21 )	Dec 2, 2023
.gitignore		.gitignore	PR for #3 : Build package (#4 )	Oct 26, 2023
BootstrapReport.lyx		BootstrapReport.lyx	Pull Request for #19 : Confidence interval for SK distance (#20 )	Nov 30, 2023
LICENSE.txt		LICENSE.txt	Pull request for #1 : Initialize (#2 )	Oct 18, 2023
README.md		README.md	PR for #22 : deploy shiny (#23 )	Dec 4, 2023
pyproject.toml		pyproject.toml	PR For #24 : text alignment (#25 )	Jan 4, 2024

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BootstrapReport

Package to:

compute the distance between a bootstrap distribution and a default normal report.
compute an improved normal report.

Documentation:

WebApp:

ShinyBootstrapReport

Citation:

Andrews, Isaiah and Jesse M. Shapiro. "Bootstrap Diagnostics for Irregular Estimators." 2023. Working Paper.