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ri (version 0.9)

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.

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Version

Install

install.packages('ri')

Monthly Downloads

7

Version

0.9

License

GPL (>= 2)

Maintainer

Cyrus Samii

Last Published

May 15th, 2012

Functions in ri (0.9)

gendist

Generates randomization distribution of estimated ATEs
genprobexact

Production of exact probabilities of treatment assignment for blocked, clustered designs
resresplot

Produces residual-residual (added-variable) plot
genouts

Generates hypothesized potential outcomes under a constant effects hypothesis
genperms

Generates a permutation matrix for blocked, clustered (or simpler) designs
ri-internal

Internal function
estate

Estimation of average treatment effects
omni.ate

Omnibus function for estimation and testing
estlate

Estimation of local average treatment effects under noncompliance
dispdist

Estimated ATE distribution display, summary and significance testing
invert.ci

Confidence intervals through test inversion
genperms.custom

Generates an approximate permutation matrix for an user-supplied randomization function
genprob

Estimates probabilities of treatment assignment
ri-package

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