Introduction | Running blockRAR | Required input | Frequentist Approach | Bayesian Approach | Obtaining Power and Sample Size | Session Info
Package: blockRAR 1.0.3
Thevaa Chandereng
blockRAR: Block Design for Response-Adaptive Randomization
Computes power for response-adaptive randomization with a block design that captures both the time and treatment effect. T. Chandereng, R. Chappell (2019) <doi:10.48550/arXiv.1904.07758>.
Authors:
blockRAR_1.0.3.tar.gz
blockRAR_1.0.3.tar.gz(r-4.7-any)blockRAR_1.0.3.tar.gz(r-4.6-any)
blockRAR_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
blockRAR/json (API)
| # Install 'blockRAR' in R: |
| install.packages('blockRAR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/thevaachandereng/blockrar/issues
Last updated from:4e690781c2. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 242 | ||
| source / vignettes | OK | 209 | ||
| linux-release-x86_64 | OK | 245 | ||
| wasm-release | OK | 137 |
Exports:%>%bdpbinomialbinomialbayesbinomialfreqprop_strata
Dependencies:abindarmbootclicodadplyrgenericsgluelatticeldboundslifecyclelme4magrittrMASSMatrixminqanlmenloptrpillarpkgconfigR6rbibutilsRcppRcppEigenRdpackreformulasrlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Discount Prior: Binomial counts | bdpbinomial bdpbinomial,ANY-method |
| Block Design for Response-Adaptive Randomization for Binomial Data | binomialbayes |
| Block Design for Response-Adaptive Randomization for Binomial Data | binomialfreq |
| Stratified Proportion Estimate for Binomial Data | prop_strata |
