Association.Measures.RD: This function calls pairwiseCI package and 3 methods from...

In RajeswaranV/vcdPlus: Summary and inference of categorical data and contingency tables

Description

This function calls pairwiseCI package and 3 methods from that are implemented with consistant output view.

Usage

Association.Measures.RD(ai, bi, ci, di, alp)

Arguments

ai	- Numeric value representing True Positives
bi	- Numeric value representing False Positives
ci	- Numeric value representing False Negatives
di	- Numeric value representing True Negatives
alp	- Numeric value representing required significance level

Details

Three methods from pairwiseCI package is implemented with consistant output view. Methods implemented are Newcombes Hybrid score, Wald continuity corrected and Agresti Caffo.

Value

A dataframe with

Method	Three methods are implemented - Newcombes Hybrid score, Wald continuity corrected and Agresti Caffo
Estimate	The estimated value
Lower.Limit	The lower limit
Upper.Limit	The upper limit

References

[1] Fagerland, M. W., & Newcombe, R. G. (2013). Confidence intervals for odds ratio and relative risk based on the inverse hyperbolic sine transformation. Statistics in medicine, 32(16), 2823-2836. [2] Upton, G. J. (2016). Categorical Data Analysis by Example. John Wiley & Sons.

See Also

Prop.diff provides this functionality with additional parameters as well

Other Association Measures methods: Association.Measures.OR, Association.Measures.RR

Examples

ai=7; bi=11; ci=1; di=17; alp=0.05 # Example from [reference 1]
suppressWarnings(Association.Measures.RD(ai,bi,ci,di,alp))

RajeswaranV/vcdPlus documentation built on May 27, 2019, 7:28 a.m.