hbrwted2a-package: A weighted version with approximate scores of the HBR fit

Description Details Author(s) References See Also Examples

Description

The fit is obtained by iterated reweight least squares. It uses the HBR weights and the approximate Big Data Scores based on the Wilcoxon scores.

Details

The DESCRIPTION file: This package was not yet installed at build time.

Index: This package was not yet installed at build time.
~~ An overview of how to use the package, including the most important ~~ ~~ functions ~~

Author(s)

Joe McKean

Maintainer: Joseph McKean <mckean@wmich.edu>

References

~~ Literature or other references for background information ~~

See Also

~~ Optional links to other man pages, e.g. ~~ ~~ <pkg> ~~

Examples

1
~~ simple examples of the most important functions ~~

joemckean/rewtedhbr documentation built on May 31, 2019, 1:51 a.m.