Package: lmboot
Type: Package
Title: Bootstrap in Linear Models
Version: 0.0.1
Date: 2019-05-13
Authors@R: person("Megan", "Heyman", email="heyman@rose-hulman.edu", role=c("aut","cre"))
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) <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>.
Depends: R (>= 3.5.0)
Imports: evd (>= 2.3.0), stats (>= 3.6.0)
License: GPL-2
RoxygenNote: 6.1.1
Encoding: UTF-8
Repository: https://meganheyman.r-universe.dev
Date/Publication: 2019-12-17 05:44:29 UTC
RemoteUrl: https://github.com/meganheyman/lmboot
RemoteRef: HEAD
RemoteSha: 1d8b62c48d491280910b092bc41de4cf39d63af5
NeedsCompilation: no
Packaged: 2026-10-04 07:57:42 UTC; root
Author: Megan Heyman [aut, cre]
Maintainer: Megan Heyman <heyman@rose-hulman.edu>