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) <DOI:10.1111/j.1541-0420.2006.00717.x>.
https://anaconda.org/r/r-sensitivityfull/badges/version.svg
https://anaconda.org/r/r-sensitivityfull/badges/latest_release_date.svg
https://anaconda.org/r/r-sensitivityfull/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-sensitivityfull/badges/platforms.svg
https://anaconda.org/r/r-sensitivityfull/badges/license.svg
https://anaconda.org/r/r-sensitivityfull/badges/downloads.svg