epi.occc: Overall concordance correlation coefficient (OCCC)

View source: R/epi.occc.R

epi.occcR Documentation

Overall concordance correlation coefficient (OCCC)


Overall concordance correlation coefficient (OCCC) for agreement on a continuous measure based on Lin (1989, 2000) and Barnhart et al. (2002).


epi.occc(dat, na.rm = FALSE, pairs = FALSE)

## S3 method for class 'epi.occc'
print(x, ...)

## S3 method for class 'epi.occc'
summary(object, ...)



a matrix, or a matrix like object. Rows correspond to cases/observations, columns corresponds to raters/variables.


logical. Should missing values (including NaN) be removed?


logical. Should the return object contain pairwise statistics? See Details.

x, object

an object of class epi.occc.


further arguments passed to print methods.


The index proposed by Barnhart et al. (2002) is the same as the index suggested by Lin (1989) in the section of future studies with a correction of a typographical error in Lin (2000).


An object of class epi.occc with the following list elements (notation follows Barnhart et al. 2002):

  • occc: the value of the overall concordance correlation coefficient (\rho_{o}^{c}),

  • oprec: overall precision (\rho),

  • oaccu: overall accuracy (\chi^{a}),

  • pairs: a list with following elements (only if pairs = TRUE, otherwise NULL; column indices for the pairs (j,k) follow lower-triangle column-major rule based on a ncol(x) times ncol(x) matrix),

    • ccc: pairwise CCC values (\rho_{jk}^{c}),

    • prec: pairwise precision values (\rho_{jk}),

    • accu: pairwise accuracy values (\chi_{jk}^{a}),

    • ksi: pairwise weights (\xi_{jk}),

    • scale: pairwise scale values (v_{jk}),

    • location: pairwise location values (u_{jk}),

  • data.name: name of the input data dat.


Peter Solymos, solymos@ualberta.ca.


Barnhart H X, Haber M, Song J (2002). Overall concordance correlation coefficient for evaluating agreement among multiple observers. Biometrics 58: 1020 - 1027.

Lin L (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics 45: 255 - 268.

Lin L (2000). A note on the concordance correlation coefficient. Biometrics 56: 324 - 325.

See Also



## Generate some rating data:

## Not run: 
p <- runif(n = 10, min = 0, max = 1)
x <- replicate(n = 5, expr = rbinom(n = 10, size = 4, prob = p) + 1)

rval.occc01 <- epi.occc(dat = x, pairs = TRUE)
print(rval.occc01); summary(rval.occc01)

## End(Not run)

epiR documentation built on March 31, 2023, 8:18 p.m.