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.

2.63 score 3 packages 47 scripts 287 downloads 8 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK112
source / vignettesOK208
linux-release-x86_64OK118
macos-release-arm64OK112
macos-oldrel-arm64OK79
windows-develOK92
windows-releaseOK68
windows-oldrelOK70
wasm-releaseOK91

Exports:computepevevallhodgeslehmannmscoressen2samplesenstratzeta

Dependencies:BiasedUrnMASS