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>.

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, and bioactivity data from the Center for
   Computational Toxicology and Exposure ('CCTE') APIs 
   <https://api-ccte.epa.gov/docs/>. 'ccdR' was developed to streamline the 
   process of accessing the information available through the 'CCTE' APIs 
   without requiring prior knowledge of how to use APIs. All data is also 
   available on the CompTox Chemical Dashboard ('CCD')
   <https://comptox.epa.gov/dashboard/>.

Contains a function, also called 'cchs', that calculates Estimator III of Borgan et al (2000), <DOI:10.1023/A:1009661900674>. This estimator is for fitting a Cox proportional hazards model to data from a case-cohort study where the subcohort was selected by stratified simple random sampling.