Class Cover Catch Digraphs, neighborhood graphs, and
        relatives.

Calculates the credit debt for the next period based on the available data using the cross-classification credibility model.

Routines for solving convex optimization problems with cone constraints by means of interior-point methods. The implemented algorithms are partially ported from CVXOPT, a Python module for convex optimization (see <https://cvxopt.org> for more information).

Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. It also includes the estimation of the one-way intraclass correlation coefficient also known as reliability index. The estimation approaches implemented are variance components and U-statistics approaches. Description of methods can be found in Fleiss (1986) <doi:10.1002/9781118032923> and Carrasco et al. (2013) <doi:10.1016/j.cmpb.2012.09.002>.

Maximum likelihood estimation of the Cauchy-Cacoullos (discrete Cauchy) distribution. Probability mass, distribution and quantile function are also included. The reference paper is: Papadatos N. (2022). "The Characteristic Function of the Discrete Cauchy Distribution in Memory of T. Cacoullos".  Journal of Statistical Theory Practice, 16(3): 47. <doi:10.1007/s42519-022-00268-6>.

Implements the combined cluster and discriminant analysis method for finding homogeneous groups of data with known origin as described in Kovacs et. al (2014): Classification into homogeneous groups using combined cluster and discriminant analysis (CCDA). Environmental Modelling & Software. <doi:10.1016/j.envsoft.2014.01.010>.

Access chemical, hazard, bioactivity, and exposure data from the 
   Computational Toxicology and Exposure ('CTX') APIs 
   <https://api-ccte.epa.gov/docs/>. 'ccdR' was developed to streamline the 
   process of accessing the information available through the 'CTX' APIs 
   without requiring prior knowledge of how to use APIs. Most data is also 
   available on the CompTox Chemical Dashboard ('CCD') 
   <https://comptox.epa.gov/dashboard/> and other resources found at the 
   EPA Computational Toxicology and Exposure Online Resources 
   <https://www.epa.gov/comptox-tools>.