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lmboot (version 0.0.1)

Bootstrap in Linear Models

Description

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) , the residual and paired bootstraps by Efron (1979, ISBN:978-1-4612-4380-9), the delete-1 jackknife by Quenouille (1956) , and the Bayesian bootstrap by Rubin (1981) .

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Version

Install

install.packages('lmboot')

Monthly Downloads

299

Version

0.0.1

License

GPL-2

Maintainer

Megan Heyman

Last Published

June 3rd, 2019

Functions in lmboot (0.0.1)

jackknife

Delete-1 Jackknife in Linear Models
lmboot-package

lmboot
bayesian.boot

Bayesian Bootstrap in Linear Models
ANOVA.boot

Residual and wild bootstrap in 1-way and 2-way ANOVA
residual.boot

Residual bootstrap in linear models
paired.boot

Paired Bootstrap in Linear Models
wild.boot

Wild Bootstrap in Linear Models