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causalsens  

Selection Bias Approach to Sensitivity Analysis for Causal Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("causalsens", "0.1.3")



Attach the package and use:
library("causalsens")
Maintained by
Matthew Blackwell
[Scholar Profile | Author Map]
First Published: 2013-04-21
Latest Update: 2018-06-18
Description:
The causalsens package provides functions to perform sensitivity analyses and to study how various assumptions about selection bias affects estimates of causal effects.
How to cite:
Matthew Blackwell (2013). causalsens: Selection Bias Approach to Sensitivity Analysis for Causal Effects. R package version 0.1.3, https://cran.r-project.org/web/packages/causalsens. Accessed 03 May. 2025.
Previous versions and publish date:
0.1.1 (2015-07-01 06:11), 0.1.2 (2018-06-18 22:06), 0.1 (2013-04-21 22:09)
Other packages that cited causalsens R package
View causalsens citation profile
Other R packages that causalsens depends, imports, suggests or enhances
Complete documentation for causalsens
Functions, R codes and Examples using the causalsens R package
Some associated functions: causalsens . lalonde.exp . lalonde.psid . one.sided . plot.causalsens . 
Some associated R codes: causalsens.R .  Full causalsens package functions and examples
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