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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>. 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: | 0.3.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | maxLik (≥ 1.3-4), mvtnorm (≥ 1.0-8), stats |
| Suggests: | testthat (≥ 2.1.0) |
| Published: | 2019-06-03 |
| Author: | Anita Lindmark |
| Maintainer: | Anita Lindmark <anita.lindmark at umu.se> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | sensmediation results |
| Reference manual: | sensmediation.pdf |
| Package source: | sensmediation_0.3.0.tar.gz |
| Windows binaries: | r-devel: sensmediation_0.3.0.zip, r-release: sensmediation_0.3.0.zip, r-oldrel: sensmediation_0.3.0.zip |
| macOS binaries: | r-release (arm64): sensmediation_0.3.0.tgz, r-oldrel (arm64): sensmediation_0.3.0.tgz, r-release (x86_64): sensmediation_0.3.0.tgz, r-oldrel (x86_64): sensmediation_0.3.0.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.
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