Package: samplingDataCRT 1.0
Diana Trutschel
samplingDataCRT: Sampling Data Within Different Study Designs for Cluster Randomized Trials
Package provides the possibility to sampling complete datasets from a normal distribution to simulate cluster randomized trails for different study designs.
Authors:
samplingDataCRT_1.0.tar.gz
samplingDataCRT_1.0.tar.gz(r-4.5-noble)samplingDataCRT_1.0.tar.gz(r-4.4-noble)
samplingDataCRT_1.0.tgz(r-4.4-emscripten)samplingDataCRT_1.0.tgz(r-4.3-emscripten)
samplingDataCRT.pdf |samplingDataCRT.html✨
samplingDataCRT/json (API)
| # Install 'samplingDataCRT' in R: |
| install.packages('samplingDataCRT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:a0b6ea5a69. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 10 2024 |
| R-4.5-linux | OK | Sep 10 2024 |
Exports:blockMatrixDiagonalcalcPower.SWDcompleteDataDesignMatrixCovMat.DesigndesignMatriximplemMatrix.SWDsampleData
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| diagonal block matrix | blockMatrixDiagonal |
| Power calculation within stepped wedge design model by Hussey et.al or Heo&Kim | calcPower.SWD |
| Design matrix for complete data within design | completeDataDesignMatrix |
| covariance matrix for the multivariate normal distributed variables | CovMat.Design |
| Design matrix for SWD model | designMatrix |
| Design matrix for SWD model under a grade of intervention implementation pattern | implemMatrix.SWD |
| Sampling Response of individuals within a SWD model | sampleData |