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nose  

Classification of Sparseness in 2-by-2 Categorical Data
View on CRAN: Click here


Download and install nose package within the R console
Install from CRAN:
install.packages("nose")

Install from Github:
library("remotes")
install_github("cran/nose")

Install by package version:
library("remotes")
install_version("nose", "1.0.5")



Attach the package and use:
library("nose")
Maintained by
Sumathi R
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-12-19
Latest Update:
Description:
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.
How to cite:
Sumathi R (2012). nose: Classification of Sparseness in 2-by-2 Categorical Data. R package version 1.0.5, https://cran.r-project.org/web/packages/nose. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.0 (2012-12-19 11:39)
Other packages that cited nose R package
View nose citation profile
Other R packages that nose depends, imports, suggests or enhances
Complete documentation for nose
Functions, R codes and Examples using the nose R package
Some associated functions: nose-package . nose.or . nose.rf . nose.rr . 
Some associated R codes: nose.or.R . nose.rf.R . nose.rr.R .  Full nose package functions and examples
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