Package: sensitivityfull 1.5.6

sensitivityfull: Sensitivity Analysis for Full Matching in Observational Studies

Sensitivity to unmeasured biases in an observational study that is a full match. Function senfm() performs tests and function senfmCI() creates confidence intervals. The method uses Huber's M-statistics, including least squares, and is described in Rosenbaum (2007, Biometrics) <doi:10.1111/j.1541-0420.2006.00717.x>.

Authors:Paul R. Rosenbaum

sensitivityfull_1.5.6.tar.gz
sensitivityfull_1.5.6.zip(r-4.7)sensitivityfull_1.5.6.zip(r-4.6)sensitivityfull_1.5.6.zip(r-4.5)
sensitivityfull_1.5.6.tgz(r-4.6-any)sensitivityfull_1.5.6.tgz(r-4.5-any)
sensitivityfull_1.5.6.tar.gz(r-4.7-any)sensitivityfull_1.5.6.tar.gz(r-4.6-any)
sensitivityfull_1.5.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
sensitivityfull/json (API)

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

On CRAN:

Conda:

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

1.88 score 1 packages 25 scripts 618 downloads 4 exports 0 dependencies

Last updated from:c99dbfbb92. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK95
source / vignettesOK136
linux-release-x86_64OK99
macos-release-arm64OK178
macos-oldrel-arm64OK210
windows-develOK76
windows-releaseOK116
windows-oldrelOK75
wasm-releaseOK77

Exports:mscorefsenfmsenfmCIseparable1f

Dependencies: