Sensitivity to unmeasured biases in an observational study that is a full match. Function senfm() performs tests and function senfmCI() creates confidence intervals. The method uses Huber's M-statistics, including least squares, and is described in Rosenbaum (2007, Biometrics)
|Author||Paul R. Rosenbaum|
|Date of publication||2017-04-04 22:07:32 UTC|
|Maintainer||Paul R. Rosenbaum <email@example.com>|
|Package repository||View on CRAN|
|Installation||Install the latest version of this package by entering the following in R:
|mscoref: Computes M-scores for a Full Match|
|senfm: Sensitivity Analysis for a Full Match in an Observational...|
|senfmCI: Sensitivity Analysis for a Confidence Interval in a Full...|
|separable1f: Computes the Separable Approximation.|
|mscoref||Man page Source code|
|senfm||Man page Source code|
|senfmCI||Man page Source code|
|separable1f||Man page Source code|
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