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doseSens  

Conduct Sensitivity Analysis with Continuous Exposures and Binary Outcomes
View on CRAN: Click here


Download and install doseSens package within the R console
Install from CRAN:
install.packages("doseSens")

Install from Github:
library("remotes")
install_github("cran/doseSens")

Install by package version:
library("remotes")
install_version("doseSens", "0.1.0")



Attach the package and use:
library("doseSens")
Maintained by
Jeffrey Zhang
[Scholar Profile | Author Map]
First Published: 2024-01-17
Latest Update: 2024-01-17
Description:
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) . Two of the functions require installation of the 'Gurobi' optimizer. Please see for guidance.
How to cite:
Jeffrey Zhang (2024). doseSens: Conduct Sensitivity Analysis with Continuous Exposures and Binary Outcomes. R package version 0.1.0, https://cran.r-project.org/web/packages/doseSens. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited doseSens R package
View doseSens citation profile
Other R packages that doseSens depends, imports, suggests or enhances
Complete documentation for doseSens
Functions, R codes and Examples using the doseSens R package
Some associated functions: binary_thresh_attribute . change_Delta . dev_TV . dose_attributable_general . dose_sensitivity_mc_gen . dose_thresh_attributable_one_sided . normal_test_gen . treat_out_match . 
Some associated R codes: AE.R . data.R . sharp.R . utils.R .  Full doseSens package functions and examples
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