ebdt_kap: Calculate the weighted Kappa coefficient

In ebdt: Evaluation of Binary Diagnostic Test

Calculate the weighted Kappa coefficient

Description

This function calculate the Weighted Kappa Coeficient estimator, their standard error estimated with Wald and Logit confidence interval in a traverse study.

Usage

ebdt_kap(s1, r1, s0, r0, conflev = 0.95, digits = 3, verbose = TRUE)

Arguments

s1	Non-negative numeric. TP - True positive (cases correctly classified as +).
r1	Non-negative numeric. FP - False positives (controls classified as +).
s0	Non-negative numeric. FN - False negatives (cases classified as -).
r0	Non-negative numeric. TN - True negatives (controls classified as -).
conflev	Confidence level (0,1). Default 0.95.
digits	Integer. Number of decimal places. Default 3.
verbose	Logical. If TRUE, it prints the execution time. Default is TRUE.

Details

Evaluating of Binary Diagnostic Test (EBDT)

This function calculates the "Kappa" coefficient weighted by c (0.1..0.9) with Wald and Logit ICs

Value

data.frame, in columns: c_index, Kappa, StdError, CI_Wald_L, CI_Wald_U, CI_Logit_L, CI_Logit_U

References

Agresti, A., (2002). Categorical Data Analysis. John Wiley and Sons, New York.

Agresti, A., Coull, B.A., (1998). Approximate is better than ‘exact’ for interval estimation of binomial proportions. The American Statistician, 52:119 – 126.

Montero-Alonso, M.Á.(2010). Intervalos de confianza y contrastes de hipótesis para parámetros de tests diagnósticos binarios, http://hdl.handle.net/10481/4879

Roldán Nofuentes J.A., Luna del Castillo J.D., Montero Alonso, M.A., (2009). Confidence intervals of weighted kappa coefficient of a binary diagnostic test. Communications in Statistics. Simulation and Computation, 38: 1562 – 1578.

Pepe, M. S. (2003). The statistical evaluation of medical tests for classification and prediction. Oxford University Press.

Zhou, X.-H., Obuchowski, N. A., y McClish, D. K. (2011). Statistical Methods in Diagnostic Medicine (2.ª ed.). John Wiley & Sons.

Examples

ebdt_kap(40, 5, 10, 45)

ebdt documentation built on Aug. 27, 2026, 1:08 a.m.