ri-package: ri: R package for performing randomization-based inference...

In ri: ri: R package for performing randomization-based inference for experiments

Description

This package provides a set of tools for conducting exact or approximate randomization-based inference for experiments of arbitrary design. The primary functionality of the package is in the generation, manipulation and use of permutation matrices implied by given experimental designs. Among other features, the package facilitates estimation of average treatment effects, constant effects variance estimation, randomization inference for significance testing against sharp null hypotheses and visualization of data and results.

Details

Package:	ri
Type:	Package
Version:	0.9
Date:	2012-05-10
License:	GPL (>= 2)

This package provides a set of tools for conducting exact or approximate inference for randomized experiments of arbitrary design. The primary functionality of the package is in the generation, manipulation and use of permutation matrices implied by given experimental designs. Among other features, the package facilitates estimation of average treatment effects, constant effects variance estimation and randomization inference for significance testing against sharp null hypotheses.

Author(s)

Peter M. Aronow <[e-mail]> and Cyrus Samii <[e-mail]>

Maintainer: Cyrus Samii <[e-mail]>

References

Gerber, Alan S. and Donald P. Green. 2012. Field Experiments: Design, Analysis, and Interpretation. New York: W.W. Norton.

ri documentation built on May 2, 2019, 6:51 a.m.