| Type: | Package |
| Title: | Test the Homogeneity of Kappa Statistics |
| Version: | 0.3 |
| Author: | Muammer Albayrak |
| Maintainer: | Muammer Albayrak <m.albayrak@ktu.edu.tr> |
| Description: | Tests the homogeneity of intraclass kappa statistics obtained from independent studies or a stratified study with binary results. It is desired to compare the kappa statistics obtained in multi-center studies or in a single stratified study to give a common or summary kappa using all available information. If the homogeneity test of these kappa statistics is not rejected, then it is possible to make inferences over a single kappa statistic that summarizes all the studies. Muammer Albayrak, Kemal Turhan, Yasemin Yavuz, Zeliha Aydin Kasap (2019) <doi:10.1080/03610918.2018.1538457> Jun-mo Nam (2003) <doi:10.1111/j.0006-341X.2003.00118.x> Jun-mo Nam (2005) <doi:10.1002/sim.2321>Mousumi Banerjee, Michelle Capozzoli, Laura McSweeney,Debajyoti Sinha (1999) <doi:10.2307/3315487> Allan Donner, Michael Eliasziw, Neil Klar (1996) <doi:10.2307/2533154>. |
| Imports: | stats |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 6.1.1 |
| NeedsCompilation: | no |
| Packaged: | 2019-02-11 06:23:11 UTC; Muammer |
| Repository: | CRAN |
| Date/Publication: | 2019-02-11 12:03:18 UTC |
Donner GOF test for homogeneity of kappa statistics
Description
Donner GOF test for homogeneity of kappa statistics
Usage
donnerhom(pp, pm, mm)
Arguments
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching rates for each study |
Details
This function can be used only for studies with binary output
Value
This function prints the Donner GOF test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Author(s)
Muammer ALBAYRAK
Examples
library(kaphom)
pp <- c(11,26,22)
pm <- c(6,5,14)
mm <- c(22,10,39)
donnerhom(pp,pm,mm)
Fleiss test for homogeneity of kappa statistics
Description
Fleiss test for homogeneity of kappa statistics
Usage
fleisshom(pp, pm, mm)
Arguments
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching rates for each study |
Details
This function can be used only for studies with binary output
Value
This function prints the Fleiss test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Author(s)
Muammer ALBAYRAK
Examples
library(kaphom)
pp <- c(11,26,22)
pm <- c(6,5,14)
mm <- c(22,10,39)
fleisshom(pp,pm,mm)
Likelihood Score test for homogeneity of kappa statistics
Description
Likelihood Score test for homogeneity of kappa statistics
Usage
lscorehom(pp, pm, mm)
Arguments
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching for each study |
Details
This function can be used only for studies with binary output
Value
This function prints the Likelihood Score test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Author(s)
Muammer ALBAYRAK
Examples
library(kaphom)
pp <- c(11,26,22)
pm <- c(6,5,14)
mm <- c(22,10,39)
lscorehom(pp,pm,mm)
Modified Likelihood Score test for homogeneity of kappa statistics
Description
Modified Likelihood Score test for homogeneity of kappa statistics
Usage
mlscorehom(pp, pm, mm)
Arguments
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching rates for each study |
Details
This function can be used only for studies with binary output
Value
This function prints the Modified Likelihood Score test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Author(s)
Muammer ALBAYRAK
Examples
library(kaphom)
pp <- c(11,26,22)
pm <- c(6,5,14)
mm <- c(22,10,39)
mlscorehom(pp,pm,mm)
Pearson GOF test for homogeneity of kappa statistics
Description
Pearson GOF test for homogeneity of kappa statistics
Usage
pearsonhom(pp, pm, mm)
Arguments
pp |
a number vector carrying the number of positive maching rates for each study |
pm |
a number vector carrying the number of non-maching rates for each study |
mm |
a number vector carrying the number of negative maching rates for each study |
Details
This function can be used only for studies with binary output
Value
This function prints the Pearson GOF test statistic, P-value for hypothesis test of the statistic and whether the difference is statistically significant or not.
Author(s)
Muammer ALBAYRAK
Examples
library(kaphom)
pp <- c(11,26,22)
pm <- c(6,5,14)
mm <- c(22,10,39)
pearsonhom(pp,pm,mm)