sensitivityfull: Sensitivity Analysis for Full Matching in Observational Studies
Version 1.5.6

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) .

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AuthorPaul R. Rosenbaum
Date of publication2017-04-04 22:07:32 UTC
MaintainerPaul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
LicenseGPL-2
Version1.5.6
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("sensitivityfull")

Man pages

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.

Functions

mscoref Man page Source code
senfm Man page Source code
senfmCI Man page Source code
separable1f Man page Source code

Files

NAMESPACE
R
R/senfm.R
R/senfmCI.R
R/mscoref.R
R/separable1f.R
MD5
DESCRIPTION
man
man/senfm.Rd
man/mscoref.Rd
man/senfmCI.Rd
man/separable1f.Rd
sensitivityfull documentation built on May 19, 2017, 3:51 p.m.