trinROC-package.Rd
Several statistical test functions as well as a function for exploratory data analysis to investigate classifiers allocating individuals to one of three disjoint and ordered classes. In a single classifier assessment the discriminatory power is compared to classification by chance. In a comparison of two classifiers the null hypothesis corresponds to equal discriminatory power of the two classifiers.
See vignette("Overview", package = "trinROC")
for an overview of the package.
Further, sd()
, var()
and cov()
are chosen with options(trinROC.MLE = TRUE)
according to the maximum likelihood estimates (default
). Change to sample
estimates by setting options(trinROC.MLE = FALSE)
Noll, S., Furrer, R., Reiser, B. and Nakas, C. T. (2019). Inference in ROC surface analysis via a trinormal model-based testing approach. Stat, 8(1), e249.
Useful links: