Package: sensitivitymv 1.4.4

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 [aut, cre]

sensitivitymv_1.4.4.tar.gz
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sensitivitymv_1.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sensitivitymv/json (API)

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

On CRAN:

Conda:

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

3.16 score 5 packages 70 scripts 1.4k downloads 1 mentions 8 exports 0 dependencies

Last updated from:fa8bede6f3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK109
source / vignettesOK157
linux-releaseOK87
macos-releaseOK82
macos-oldrelOK107
windows-develOK67
windows-releaseOK55
windows-oldrelOK57
wasm-releaseOK83

Exports:amplifymscorevmultrnksnewurkssenmvseparable1vtruncatedPtruncatedPbg

Dependencies: