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sensmediation  

Parametric Estimation and Sensitivity Analysis of Direct and Indirect Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sensmediation", "0.3.1")



Attach the package and use:
library("sensmediation")
Maintained by
Anita Lindmark
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-14
Latest Update: 2019-06-03
Description:
We implement functions to estimate and perform sensitivity analysis to unobserved confounding of direct and indirect effects introduced in Lindmark, de Luna and Eriksson (2018) . The estimation and sensitivity analysis are parametric, based on probit and/or linear regression models. Sensitivity analysis is implemented for unobserved confounding of the exposure-mediator, mediator-outcome and exposure-outcome relationships.
How to cite:
Anita Lindmark (2018). sensmediation: Parametric Estimation and Sensitivity Analysis of Direct and Indirect Effects. R package version 0.3.1, https://cran.r-project.org/web/packages/sensmediation. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.2.0 (2018-11-14 15:40), 0.3.0 (2019-06-03 10:40)
Other packages that cited sensmediation R package
View sensmediation citation profile
Other R packages that sensmediation depends, imports, suggests or enhances
Complete documentation for sensmediation
Functions, R codes and Examples using the sensmediation R package
Some associated functions: LogL . ML . RSdata . calc.effects . coefs.sensmed . effects . grr . hess . more.effects . partdevs . plot.effectsMed . sensmediation . stderrs . summary.effectsMed . 
Some associated R codes: calc.effects.R . coefs.sensmed.R . data.R . mediationmethods.R . sensmediation.R .  Full sensmediation package functions and examples
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