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sensemakr  

Sensitivity Analysis Tools for Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sensemakr", "0.1.6")



Attach the package and use:
library("sensemakr")
Maintained by
Carlos Cinelli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-05
Latest Update: 2024-07-22
Description:
Implements a suite of sensitivity analysis tools that extends the traditional omitted variable bias framework and makes it easier to understand the impact of omitted variables in regression models, as discussed in Cinelli, C. and Hazlett, C. (2020), "Making Sense of Sensitivity: Extending Omitted Variable Bias." Journal of the Royal Statistical Society, Series B (Statistical Methodology) .
How to cite:
Carlos Cinelli (2019). sensemakr: Sensitivity Analysis Tools for Regression Models. R package version 0.1.6, https://cran.r-project.org/web/packages/sensemakr. Accessed 14 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:02), 0.1.2 (2019-08-05 14:50), 0.1.3 (2020-04-28 23:30), 0.1.4 (2021-10-08 07:00)
Other packages that cited sensemakr R package
View sensemakr citation profile
Other R packages that sensemakr depends, imports, suggests or enhances
Complete documentation for sensemakr
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