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SBSA (version 0.2.3)

SBSA-package: Simplified Bayesian Sensitivity Analysis

Description

Simplified Bayesian sensitivity analysis of models with partially observed confounders.

Arguments

Details

The SBSA package is an implementation of algorithms for simplified Bayesian sensitivity analysis described in Gustafson et al (2010). It has one entry function, fitSBSA. For more details refer to the relevant help files.

References

Gustafson, P., L. C. McCandless, A. R. Levy, and S. Richardson. (2010) ‘Simplified Bayesian Sensitivity Analysis for Mismeasured and Unobserved Confounders.’ Biometrics, 66(4):1129-1137. DOI: 10.1111/j.1541-0420.2009.01377.x

See Also

fitSBSA

Examples

Run this code
## see examples for fitSBSA

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