concordance

0th

Percentile

Concordance test for binomial models

Performs a concordance/disconcordance (C-statistic) test on binomial models.

Usage
concordance(y, p)
Arguments
y

vector of binomial response variable used in model

p

estimated probabilities from fit binomial model

Value

list object with: concordance, discordance, tied and pairs

Note

Test of binomial regression for the hypothesis that probabilities of all positives [1], are greater than the probabilities of the nulls [0]. The concordance would be 100 inverse of concordance, representing the null. The C-statistic has been show to be comparable to the area under an ROC

Results are: concordance - percent of positives that are greater than probabilities of nulls. discordance - concordance inverse of concordance representing the null class, tied - number of tied probabilities and pairs - number of pairs compared

References

Austin, P.C. & E.W. Steyerberg (2012) Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable. BMC Medical Research Methodology, 12:82

Harrell, F.E. (2001) Regression modelling strategies. Springer, New York, NY.

Royston, P. & D.G. Altman (2010) Visualizing and assessing discrimination in the logistic regression model. Statistics in Medicine 29(24):2508-2520

Aliases
  • concordance
Examples
# NOT RUN {
data(mtcars)
dat <- subset(mtcars, select=c(mpg, am, vs))
glm.reg <- glm(vs ~ mpg, data = dat, family = binomial)
concordance(dat$vs, predict(glm.reg, type = "response")) 

# }
Documentation reproduced from package spatialEco, version 1.3-2, License: GPL-3

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