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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> and Lindmark (2022) <doi:10.1007/s10260-021-00611-4>. 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: | 0.3.1 |
Depends: | R (≥ 3.5.0) |
Imports: | maxLik (≥ 1.3-4), mvtnorm (≥ 1.0-8), stats |
Suggests: | testthat (≥ 2.1.0) |
Published: | 2024-09-26 |
DOI: | 10.32614/CRAN.package.sensmediation |
Author: | Anita Lindmark [aut, cre] |
Maintainer: | Anita Lindmark <anita.lindmark at umu.se> |
License: | GPL-2 |
NeedsCompilation: | no |
Citation: | sensmediation citation info |
Materials: | NEWS |
CRAN checks: | sensmediation results |
Reference manual: | sensmediation.pdf |
Package source: | sensmediation_0.3.1.tar.gz |
Windows binaries: | r-devel: sensmediation_0.3.1.zip, r-release: sensmediation_0.3.1.zip, r-oldrel: sensmediation_0.3.1.zip |
macOS binaries: | r-release (arm64): sensmediation_0.3.1.tgz, r-oldrel (arm64): sensmediation_0.3.1.tgz, r-release (x86_64): sensmediation_0.3.1.tgz, r-oldrel (x86_64): sensmediation_0.3.1.tgz |
Old sources: | sensmediation archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.