Package: SequentialDesign 1.0
Judith Maro
SequentialDesign: Observational Database Study Planning using Exact Sequential Analysis for Poisson and Binomial Data
Functions to be used in conjunction with the 'Sequential' package that allows for planning of observational database studies that will be analyzed with exact sequential analysis. This package supports Poisson- and binomial-based data. The primary function, seq_wrapper(...), accepts parameters for simulation of a simple exposure pattern and for the 'Sequential' package setup and analysis functions. The exposure matrix is used to simulate the true and false positive and negative populations (Green (1983) <doi:10.1093/oxfordjournals.aje.a113521>, Brenner (1993) <doi:10.1093/oxfordjournals.aje.a116805>). Functions are then run from the 'Sequential' package on these populations, which allows for the exploration of outcome misclassification in data.
Authors:
SequentialDesign_1.0.tar.gz
SequentialDesign_1.0.tar.gz(r-4.5-noble)SequentialDesign_1.0.tar.gz(r-4.4-noble)
SequentialDesign_1.0.tgz(r-4.4-emscripten)SequentialDesign_1.0.tgz(r-4.3-emscripten)
SequentialDesign.pdf |SequentialDesign.html✨
SequentialDesign/json (API)
| # Install 'SequentialDesign' in R: |
| install.packages('SequentialDesign', 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 7 years agofrom:9aa39bb882. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 11 2024 |
| R-4.5-linux | OK | Oct 11 2024 |
Exports:create.exposurefun.decumfun.exposureinitialize.dataSCRI.seqseq_wrappersim.exposure
Dependencies:bootSequential
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create Exposure Data Matrix | create.exposure |
| Decumulate Values in a Matrix | fun.decum |
| Define Exposure Accumulation Function | fun.exposure |
| Create Simulated Sequential Data Parameter Data Frame | initialize.data |
| Perform sequential analysis on true and misclassified binomial data | SCRI.seq |
| Execute Simulated Exact Sequential Analysis in Multi-Site Observational Database Studies | seq_wrapper |
| Create Simulated Exposure Matrix for Real and Observed Data | sim.exposure |