sensmediation: Parametric Estimation and Sensitivity Analysis of Direct and Indirect Effects

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) <doi:10.1002/sim.7620>. 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.

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: maxLik (≥ 1.3-4), mvtnorm (≥ 1.0-8), stats (≥ 3.5.1)
Published: 2018-11-14
Author: Anita Lindmark
Maintainer: Anita Lindmark <anita.lindmark at umu.se>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: sensmediation results

Downloads:

Reference manual: sensmediation.pdf
Package source: sensmediation_0.2.0.tar.gz
Windows binaries: r-devel: sensmediation_0.2.0.zip, r-release: sensmediation_0.2.0.zip, r-oldrel: sensmediation_0.2.0.zip
OS X binaries: r-release: sensmediation_0.2.0.tgz, r-oldrel: sensmediation_0.2.0.tgz

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