summary: Summarizing sensitivity analysis results

Description Usage Arguments Details Author(s) References See Also Examples

Description

Summary method for objects of class "sensitivity".

Usage

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 ## S3 method for class 'sensitivity'
summary(object, ...)
 ## Default S3 method:
summary.sensitivity(object, digits = 3, signif.level = 0.05, ...)

Arguments

object

An object of class "sensitivity".

digits

The number of digits used for rounding.

signif.level

Function returns a table of combinations of sensitivity parameters where this significance level is lost.

...

Included for consistency with summary generic.

Details

Prints a summary of main features of sensitivity analysis distribution.

Author(s)

Nicole Bohme Carnegie, Masataka Harada, and Jennifer Hill

References

Carnegie NB, Hill JH and Harada M. Assessing sensitivity to unmeasured confounding using simulated potential confounders (under review)

See Also

treatSens

Examples

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#See treatSens documentation

treatSens documentation built on May 29, 2017, 10:31 p.m.