The nose package consists of a collection of three functions for classifying sparseness in typical 2 x 2 data sets with at least one cell should have zero count. These functions are based on the three widely applied summary measures for 2 x 2 categorical data viz, Risk Difference (RD), Relative Risk (RR), Odds Ratio (OR). This package helps to identify suitable continuity correction for zero cells when a multi centre analysis or a meta analysis is carried out. Further, it can be considered as a tool for sensitivity analysis for adding a continuity correction and to identify the presence of Simpson's paradox.
|Author||originally written by Subbiah M <firstname.lastname@example.org> packaged by Sumathi R with considerable contributions by Srinivasan M R|
|Date of publication||2012-12-19 11:39:43|
|Maintainer||Sumathi R <email@example.com>|