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-any)lmboot_0.0.1.zip(r-4.6-any)lmboot_0.0.1.zip(r-4.5-any)
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✨
DESCRIPTION
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:

3.03 score 2 stars 54 scripts 408 downloads 6 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK87
source / vignettesOK138
linux-releaseOK79
macos-releaseOK144
macos-oldrelOK140
windows-develOK65
windows-releaseOK51
windows-oldrelOK51
wasm-releaseOK72

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

Dependencies:evd