Package: mccmeiv 2.1
mccmeiv: Analysis of Matched Case Control Data with a Mismeasured Exposure that is Accompanied by Instrumental Variables
Applying the methodology from Manuel et al. to estimate parameters using a matched case control data with a mismeasured exposure variable that is accompanied by instrumental variables (Submitted).
Authors:
mccmeiv_2.1.tar.gz
mccmeiv_2.1.zip(r-4.5)mccmeiv_2.1.zip(r-4.4)mccmeiv_2.1.zip(r-4.3)
mccmeiv_2.1.tgz(r-4.4-any)mccmeiv_2.1.tgz(r-4.3-any)
mccmeiv_2.1.tar.gz(r-4.5-noble)mccmeiv_2.1.tar.gz(r-4.4-noble)
mccmeiv_2.1.tgz(r-4.4-emscripten)mccmeiv_2.1.tgz(r-4.3-emscripten)
mccmeiv.pdf |mccmeiv.html✨
mccmeiv/json (API)
| # Install 'mccmeiv' in R: |
| install.packages('mccmeiv', repos = c('https://chrismattstat.r-universe.dev', 'https://cloud.r-project.org')) |
- matcdata - A sample dataset representing matched case control data.
- matcdatamult - A sample dataset representing matched case control data. Similar to matcdata except with multiple stratification/instrumental/miscellaneous variables.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:7e34f7e24f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 02 2024 |
| R-4.5-win | OK | Sep 02 2024 |
| R-4.5-linux | OK | Sep 02 2024 |
| R-4.4-win | OK | Sep 02 2024 |
| R-4.4-mac | OK | Sep 02 2024 |
| R-4.3-win | OK | Sep 02 2024 |
| R-4.3-mac | OK | Sep 02 2024 |
Exports:.finalpart.finalpartnoa0.finalpartnoa1.m4.m4noa0.m4noa1.part1.part1noa0.part1noa1.part2.part2noa0.part2noa1.part3.part3noa0.part3noa1.part4.part4noa0.part4noa1meivm3meivm4
