Package: lmboot 0.0.1

lmboot: Bootstrap in Linear Models

Various efficient and robust bootstrap methods are implemented for linear models with least squares estimation. Functions within this package allow users to create bootstrap sampling distributions for model parameters, test hypotheses about parameters, and visualize the bootstrap sampling or null distributions. Methods implemented for linear models include the wild bootstrap by Wu (1986) <doi:10.1214/aos/1176350142>, the residual and paired bootstraps by Efron (1979, ISBN:978-1-4612-4380-9), the delete-1 jackknife by Quenouille (1956) <doi:10.2307/2332914>, and the Bayesian bootstrap by Rubin (1981) <doi:10.1214/aos/1176345338>.

Authors:Megan Heyman [aut, cre]

lmboot_0.0.1.tar.gz
lmboot_0.0.1.zip(r-4.5)lmboot_0.0.1.zip(r-4.4)lmboot_0.0.1.zip(r-4.3)
lmboot_0.0.1.tgz(r-4.5-any)lmboot_0.0.1.tgz(r-4.4-any)lmboot_0.0.1.tgz(r-4.3-any)
lmboot_0.0.1.tar.gz(r-4.5-noble)lmboot_0.0.1.tar.gz(r-4.4-noble)
lmboot_0.0.1.tgz(r-4.4-emscripten)lmboot_0.0.1.tgz(r-4.3-emscripten)
lmboot.pdf |lmboot.html✨
lmboot/json (API)

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

Bug tracker:https://github.com/meganheyman/lmboot/issues

On CRAN:

Conda:

2.70 score 2 stars 25 scripts 628 downloads 6 exports 1 dependencies

Last updated 5 years agofrom:1d8b62c48d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:ANOVA.bootbayesian.bootjackknifepaired.bootresidual.bootwild.boot

Dependencies:evd