Computing comorbidity indices and scores such as the weighted Charlson
  score (Charlson, 1987 <doi:10.1016/0021-9681(87)90171-8>) and the Elixhauser
  comorbidity score (Elixhauser, 1998 <doi:10.1097/00005650-199801000-00004>)
  using ICD-9-CM or ICD-10 codes (Quan, 2005 <doi:10.1097/01.mlr.0000182534.19832.83>).
  Australian and Swedish modifications of the Charlson Comorbidity Index are available
  as well (Sundararajan, 2004 <doi:10.1016/j.jclinepi.2004.03.012> and Ludvigsson, 2021 
  <doi:10.2147/CLEP.S282475>), together with different weighting algorithms for both
  the Charlson and Elixhauser comorbidity scores.

Using polygenic scores (PGS, or PRS/GRS for binary outcomes), 
    this package allows to investigate shared predisposition between different 
    conditions, and do fast association analysis, export plots and views
    of the PGS distribution using 'ggplot2' object.

Maps of Comoro Islands. Layers include the country coastline, each island coastline and administrative regions boundaries.

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.