lmboot (0.0.1)

0 users

Bootstrap in Linear Models.

http://cran.r-project.org/web/packages/lmboot

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) .

Maintainer: Megan Heyman
Author(s): Megan Heyman [aut, cre]

License: GPL-2

Uses: evd

Released 9 months ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of lmboot yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for lmboot on google, google scholar, r-help, r-devel.

Visit lmboot on R Graphical Manual.