doseSens: Conduct Sensitivity Analysis with Continuous Exposures and Binary Outcomes

Performs sensitivity analysis for the sharp null and attributable effects in matched studies with continuous exposures and binary outcomes as described in Zhang, Small, Heng (2024) <doi:10.48550/arXiv.2401.06909>. Two of the functions require installation of the 'Gurobi' optimizer. Please see <https://www.gurobi.com/documentation/9.0/refman/ins_the_r_package.html> for guidance.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: dplyr, gtools, stats, utils
Suggests: gurobi
Published: 2024-01-17
Author: Jeffrey Zhang [aut, cre]
Maintainer: Jeffrey Zhang <jzhang17 at wharton.upenn.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: doseSens results

Documentation:

Reference manual: doseSens.pdf

Downloads:

Package source: doseSens_0.1.0.tar.gz
Windows binaries: r-devel: doseSens_0.1.0.zip, r-release: doseSens_0.1.0.zip, r-oldrel: doseSens_0.1.0.zip
macOS binaries: r-release (arm64): doseSens_0.1.0.tgz, r-oldrel (arm64): doseSens_0.1.0.tgz, r-release (x86_64): doseSens_0.1.0.tgz

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