Package: fidelitysim 0.1.1
fidelitysim: Fidelity patterns in simulation experiments for cluster randomized trials in implementation science research
The package provides functions to coduct simulation experiments for investigating the performance of effect estimation within parallel/stepped-wedged cluster randomized trials under consideration of implementation error (measured by fidelity).
Authors:
fidelitysim_0.1.1.tar.gz
fidelitysim_0.1.1.zip(r-4.5)fidelitysim_0.1.1.zip(r-4.4)fidelitysim_0.1.1.zip(r-4.3)
fidelitysim_0.1.1.tgz(r-4.4-any)fidelitysim_0.1.1.tgz(r-4.3-any)
fidelitysim_0.1.1.tar.gz(r-4.5-noble)fidelitysim_0.1.1.tar.gz(r-4.4-noble)
fidelitysim_0.1.1.tgz(r-4.4-emscripten)fidelitysim_0.1.1.tgz(r-4.3-emscripten)
fidelitysim.pdf |fidelitysim.html✨
fidelitysim/json (API)
| # Install 'fidelitysim' in R: |
| install.packages('fidelitysim', repos = c('https://cathblatter.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ins-basel/fidelitysim/issues
Last updated 2 years agofrom:397f6526c4. Checks:OK: 1 NOTE: 6. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | NOTE | Nov 19 2024 |
| R-4.5-linux | NOTE | Nov 19 2024 |
| R-4.4-win | NOTE | Nov 19 2024 |
| R-4.4-mac | NOTE | Nov 19 2024 |
| R-4.3-win | NOTE | Nov 19 2024 |
| R-4.3-mac | NOTE | Nov 19 2024 |
Exports:biascalc.X.valuesData.loss.SWDfind.Fidelity.expfind.Fidelity.linearfind.Fidelity.logimplemMatrix.crossoverimplemMatrix.parallelperformanceMeassimulation
Dependencies:bootlatticelme4MASSMatrixminqamvtnormnlmenloptrRcppRcppEigensamplingDataCRT
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Get bias estimate | bias |
| Approximate within points | calc.X.values |
| Data loss simulation for given study data | Data.loss.SWD |
| Find approximate fidelity with an exponential function | find.Fidelity.exp |
| Find approximate fidelity with a linear function | find.Fidelity.linear |
| Find approximate fidelity with a logarithmic function | find.Fidelity.log |
| Implementation of crossover matrix | implemMatrix.crossover |
| Implementation of parallel matrix | implemMatrix.parallel |
| Get several performance measures of (effect estimation) simulation studies | performanceMeas |
| Get performance measures from effect estimation within all repeats of the simulation | simulation |
