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lmboot  

Bootstrap in Linear Models
View on CRAN: Click here


Download and install lmboot package within the R console
Install from CRAN:
install.packages("lmboot")

Install from Github:
library("remotes")
install_github("cran/lmboot")

Install by package version:
library("remotes")
install_version("lmboot", "0.0.1")



Attach the package and use:
library("lmboot")
Maintained by
Megan Heyman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-03
Latest Update: 2019-06-03
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) .
How to cite:
Megan Heyman (2019). lmboot: Bootstrap in Linear Models. R package version 0.0.1, https://cran.r-project.org/web/packages/lmboot. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for lmboot
Functions, R codes and Examples using the lmboot R package
Some associated functions: ANOVA.boot . bayesian.boot . jackknife . lmboot-package . paired.boot . residual.boot . wild.boot . 
Some associated R codes: ANOVA.boot.R . bayesian.boot.R . jackknife.R . paired.boot.R . residual.boot.R . wild.boot.R .  Full lmboot package functions and examples
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