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.
|Author||Peter M. Aronow <firstname.lastname@example.org> and Cyrus Samii <email@example.com>|
|Maintainer||Cyrus Samii <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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