CRAN/E | lmboot

lmboot

Bootstrap in Linear Models

Installation

About

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.

Key Metrics

Version 0.0.1
R ≥ 3.5.0
Published 2019-06-03 1796 days ago
Needs compilation? no
License GPL-2
CRAN checks lmboot results

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Maintainer

Maintainer

Megan Heyman

heyman@rose-hulman.edu

Authors

Megan Heyman

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5.0

Imports

evd ≥ 2.3.0
stats ≥ 3.6.0