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>.

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>.

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.