Thematic quality indices are provided to facilitate the evaluation
and quality control of geospatial data products (e.g. thematic maps, remote
sensing classifications, etc.). The indices offered are based on the
so-called confusion matrix. This matrix is constructed by comparing the
assigned classes or attributes of a set of pairs of positions or objects
in the product and the ground truth. In this package it is considered that
the classes of the ground truth correspond to the columns and that the
classes of the product to be valued correspond to the rows. The package
offers two object classes with their methods: 'ConfMatrix' (Confusion
matrix) and 'QCCS' (Quality Control Columns Set). The 'ConfMatrix' class of
objects offers more than 20 methods based on the confusion matrix. The
'QCCS' class of objects offers a different perspective in which the ground
truth is considered to allow the values of the column marginals to be fixed,
see Ariza López et al. (2019)