Carcinoma dataset discussed by Agresti
carcinoma.RdA dataset considered by Agresti. Seven clinicians are asked whether they see evidence for carcinoma on different patients.
data(carcinoma)Format
A hyper2 object that gives a likelihood function
Details
Object carcinoma_table is drawn from Agresti. The first seven
columns correspond to the seven clinicians A-G, the next is the count
of observations, and the remaining columns are fitted values according
to different models discussed by Agresti.
Object carcinoma is a likelihood function (of class lsl)
on the Bradley-Terry strengths of the seven clinicians. The
clinicians diagnosed the presence or absence of carcinoma on a total
of 118 patients in a blind rating scheme. The maximum likelihood
estimator for the clinicians' Bradley-Terry strengths is given as
carcinoma_maxp, which is computationally expensive to find.
The package also includes carcinoma_count, which is a different
estimator for the Clinicians' BT strengths.
These objects can be generated by running script inst/carcinoma.Rmd,
which includes some further discussion and technical documentation, and
creates file carcinoma.rda which resides in the data/
directory.
References
A. Agresti, 2002. "Categorical data analysis". John Wiley and Sons. Table 13.1, p542.
Examples
pie(carcinoma_maxp)
