Package: RCT2 0.0.1
RCT2: Designing and Analyzing Two-Stage Randomized Experiments
Provides various statistical methods for designing and analyzing two-stage randomized controlled trials using the methods developed by Imai, Jiang, and Malani (2021) <doi:10.1080/01621459.2020.1775612> and (2022+) <doi:10.48550/arXiv.2011.07677>. The package enables the estimation of direct and spillover effects, conduct hypotheses tests, and conduct sample size calculation for two-stage randomized controlled trials.
Authors:
RCT2_0.0.1.tar.gz
RCT2_0.0.1.zip(r-4.7)RCT2_0.0.1.zip(r-4.6)RCT2_0.0.1.zip(r-4.5)
RCT2_0.0.1.tgz(r-4.6-any)RCT2_0.0.1.tgz(r-4.5-any)
RCT2_0.0.1.tar.gz(r-4.7-any)RCT2_0.0.1.tar.gz(r-4.6-any)
RCT2_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RCT2/json (API)
| # Install 'RCT2' in R: |
| install.packages('RCT2', repos = c('https://kosukeimai.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kosukeimai/rct2/issues
Last updated from:6b5fcc7253. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 148 | ||
| source / vignettes | OK | 210 | ||
| linux-release-x86_64 | OK | 136 | ||
| macos-release-arm64 | OK | 93 | ||
| macos-oldrel-arm64 | OK | 112 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 79 | ||
| windows-oldrel | OK | 79 | ||
| wasm-release | OK | 122 |
Exports:CADEparamregCADErandCADEregCalAPOcalparaCalsamplesizeTest2SRE
Dependencies:abindAERbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquadprogquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Causal Inference with Inteference
Rendered fromspillover_vignette.Rmdusingknitr::rmarkdownon May 28 2026.Last update: 2022-10-15
Started: 2020-08-31
Statistical Inference and Power Analysis for Direct and Spillover Effects
Rendered frominterference_vignette.Rmdusingknitr::rmarkdownon May 28 2026.Last update: 2022-10-15
Started: 2020-11-30
