Package: sensitivitymv 1.4.3

Paul R. Rosenbaum

sensitivitymv: Sensitivity Analysis in Observational Studies

The package performs a sensitivity analysis in an observational study using an M-statistic, for instance, the mean. The main function in the package is senmv(), but amplify() and truncatedP() are also useful. The method is developed in Rosenbaum Biometrics, 2007, 63, 456-464, <doi:10.1111/j.1541-0420.2006.00717.x>.

Authors:Paul R. Rosenbaum

sensitivitymv_1.4.3.tar.gz
sensitivitymv_1.4.3.tar.gz(r-4.5-noble)sensitivitymv_1.4.3.tar.gz(r-4.4-noble)
sensitivitymv_1.4.3.tgz(r-4.4-emscripten)sensitivitymv_1.4.3.tgz(r-4.3-emscripten)
sensitivitymv.pdf |sensitivitymv.html✨
sensitivitymv/json (API)

# Install 'sensitivitymv' in R:
install.packages('sensitivitymv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • erpcp - DNA Damage Among Welders
  • lead150 - Smoking and lead in 150 matched 1-5 sets.
  • lead250 - Smoking and lead in 250 matched pairs.
  • mercury - NHANES Mercury/Fish Data
  • mtm - DNA damage from exposure to chromium
  • tbmetaphase - Genetic damage from drugs used to treat TB

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.86 score 4 packages 60 scripts 209 downloads 1 mentions 8 exports 0 dependencies

Last updated 6 years agofrom:a4d59d3dbb. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-linuxOKNov 19 2024

Exports:amplifymscorevmultrnksnewurkssenmvseparable1vtruncatedPtruncatedPbg

Dependencies: