Package: senstrat 1.0.3

senstrat: Sensitivity Analysis for Stratified Observational Studies

Sensitivity analysis in unmatched observational studies, with or without strata. The main functions are sen2sample() and senstrat(). See Rosenbaum, P. R. and Krieger, A. M. (1990), JASA, 85, 493-498, <doi:10.1080/01621459.1990.10476226> and Gastwirth, Krieger and Rosenbaum (2000), JRSS-B, 62, 545–555 <doi:10.1111/1467-9868.00249> .

Authors:Paul R. Rosenbaum

senstrat_1.0.3.tar.gz
senstrat_1.0.3.zip(r-4.7-any)senstrat_1.0.3.zip(r-4.6-any)senstrat_1.0.3.zip(r-4.5-any)
senstrat_1.0.3.tgz(r-4.6-any)senstrat_1.0.3.tgz(r-4.5-any)
senstrat_1.0.3.tar.gz(r-4.7-any)senstrat_1.0.3.tar.gz(r-4.6-any)
senstrat_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
senstrat/json (API)

# Install 'senstrat' in R:
install.packages('senstrat', repos = c('https://rosenbap.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • homocyst - Homocysteine levels in daily smokers and never smokers.

On CRAN:

Conda:

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

2.64 score 3 packages 48 scripts 311 downloads 8 exports 2 dependencies

Last updated from:d7cecc6ddc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK94
source / vignettesOK125
linux-releaseOK87
macos-releaseOK88
macos-oldrelOK85
windows-develOK59
windows-releaseOK77
windows-oldrelOK51
wasm-releaseOK74

Exports:computepevevallhodgeslehmannmscoressen2samplesenstratzeta

Dependencies:BiasedUrnMASS