Confidence interval for a linear contrast of G-index coefficients
Source:R/meta_comp.R
meta.lc.agree.Rd
Computes the estimate, standard error, and adjusted Wald confidence interval for a linear contrast of G-index of agreement coefficients from two or more studies. This function assumes that two raters each provide a dichotomous rating for a sample of objects.
Value
Returns 1-row matrix with the following columns:
Estimate - estimated linear contrast
SE - standard error
LL - lower limit of the adjusted Wald confidence interval
UL - upper limit of the adjusted Wald confidence interval
References
Bonett DG (2022). “Statistical inference for G-indices of agreement.” Journal of Educational and Behavioral Statistics, 47(4), 438–458. doi:10.3102/10769986221088561 .
Examples
f11 <- c(43, 56, 49)
f12 <- c(7, 2, 9)
f21 <- c(3, 5, 5)
f22 <- c(37, 54, 39)
v <- c(.5, .5, -1)
meta.lc.agree(.05, f11, f12, f21, f22, v)
#> Estimate SE LL UL
#> Contrast 0.1022939 0.07972357 -0.05396142 0.2585492
# Should return:
# Estimate SE LL UL
# Contrast 0.1022939 0.07972357 -0.05396142 0.2585492