Comparison of two ROC curves through the methodology proposed by Ana C. Braga.

Implements functions for comparing strings, sequences and 
    numeric vectors for clustering and record linkage applications. 
    Supported comparison functions include: generalized edit distances 
    for comparing sequences/strings, Monge-Elkan similarity for fuzzy 
    comparison of token sets, and L-p distances for comparing numeric 
    vectors. Where possible, comparison functions are implemented in 
    C/C++ to ensure good performance.

Functions to compare a model object to a comparison object.
  If the objects are not identical, the functions can be instructed to
  explore various modifications of the objects (e.g., sorting rows,
  dropping names) to see if the modified versions are identical.

Proposed by Harrell, the C index or concordance C, is considered an overall measure of discrimination in survival analysis between a survival outcome that is possibly right censored and a predictive-score variable, which can represent a measured biomarker or a composite-score output from an algorithm that combines multiple biomarkers. This package aims to statistically compare two C indices with right-censored survival outcome, which commonly arise from a paired design and thus resulting two correlated C indices.

Compare C-statistics (concordance statistics)
    between two survival models, using either bootstrap resampling (Harrell's C)
    or Uno's C with perturbation-resampling (from the survC1 package). Returns
    confidence intervals and a p-value for the difference in C-statistics.
    Useful for evaluating and comparing predictive performance of survival models.
    Methods implemented for Uno's C are described in Uno et al. (2011) <doi:10.1002/sim.4154>.

It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. It also calculates the expected effect and the probability of observing the composite endpoint, among others. The methodology can be found in Bofill & Gómez (2019) <doi:10.1002/sim.8092> and Gómez & Lagakos (2013) <doi:10.1002/sim.5547>.