Bootstrap Methods

Supplies bootstrap alternatives to traditional hypothesis-test and confidence-interval procedures such as one-sample and two-sample inferences for means, medians, standard deviations, and proportions; simple linear regression; and more. Suitable for general audiences, including individual and group users, introductory statistics courses, and more advanced statistics courses that desire an introduction to bootstrap methods.


Reference manual

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1.0.3 by Neil A. Weiss, 6 years ago

Browse source code at

Authors: Neil A. Weiss

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on boot, simpleboot

Imported by SimVitD.

See at CRAN