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

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.

AuthorPeter M. Aronow <peter.aronow@yale.edu> and Cyrus Samii <cds2083@nyu.edu>
Date of publication2012-05-15 06:44:09
MaintainerCyrus Samii <cds2083@nyu.edu>
LicenseGPL (>= 2)

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.