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-4.7)lmboot_0.0.1.zip(r-4.6)lmboot_0.0.1.zip(r-4.5)
lmboot_0.0.1.tgz(r-4.6-any)lmboot_0.0.1.tgz(r-4.5-any)
lmboot_0.0.1.tar.gz(r-4.7-any)lmboot_0.0.1.tar.gz(r-4.6-any)
lmboot_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

3.05 score 2 stars 56 scripts 284 downloads 6 exports 1 dependencies

Last updated from:1d8b62c48d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK83
source / vignettesOK121
linux-release-x86_64OK94
macos-release-arm64OK118
macos-oldrel-arm64OK130
windows-develOK61
windows-releaseOK57
windows-oldrelOK56
wasm-releaseOK86

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

Dependencies:evd