CRAN/E | Ricrt

Ricrt

Randomization Inference of Clustered Randomized Trials

Installation

About

Methods for randomization inference in group-randomized trials. Specifically, it can be used to analyze the treatment effect of stratified data with multiple clusters in each stratum with treatment given on cluster level. User may also input as many covariates as they want to fit the data. Methods are described by Dylan S Small et al., (2012) doi:10.1198/016214507000000897.

Key Metrics

Version 0.1.0
R ≥ 2.10
Published 2023-02-22 432 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Yang Dong

flankado@sas.upenn.edu

Authors

Yang Dong

aut / cph / cre

Bingkai Wang

aut / cph

Dylan Small

aut / cph

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 2.10

Imports

dplyr
randomForest
tidyverse
stats
SuperLearner
glmnet
rlang
Rdpack