A light-weight object-oriented system with 'python'-like syntax which supports multiple inheritances and incorporates a 'python'-like method resolution order.

A set of functions for doing analysis of A/B split test data and web metrics in general.

Interface to a high-performance implementation of k-medoids clustering described in Tiwari, Zhang, Mayclin, Thrun, Piech and Shomorony (2020) "BanditPAM: Almost Linear Time k-medoids Clustering via Multi-Armed Bandits" <https://proceedings.neurips.cc/paper/2020/file/73b817090081cef1bca77232f4532c5d-Paper.pdf>.

Implements functions that calculate upper prediction 
  bounds on the false discovery proportion (FDP) in the list of discoveries 
  returned by competition-based setups, implementing Ebadi et al. (2022)
  <arXiv:2302.11837>. Such setups include target-decoy competition (TDC) 
  in computational mass spectrometry and the knockoff construction in linear 
  regression (note this package typically uses the terminology of TDC). Included 
  is the standardized (TDC-SB) and uniform (TDC-UB) bound on TDC's FDP, and the 
  simultaneous standardized and uniform bands. Requires 
  pre-computed Monte Carlo statistics available at 
  <https://github.com/uni-Arya/fdpbandsdata>. This data can be downloaded by
  running the command 'devtools::install_github("uni-Arya/fdpbandsdata")' in R
  and restarting R after installation. The size of this data is roughly 81Mb.

Assigns standardized diagnoses using the Banff Classification
    (Category 1 to 6 diagnoses, including Acute and Chronic active T-cell
    mediated rejection as well as Active, Chronic active, and Chronic antibody
    mediated rejection). The main function considers a minimal dataset
    containing biopsies information in a specific format (described by a data
    dictionary), verifies its content and format (based on the data dictionary),
    assigns diagnoses, and creates a summary report. The package is developed on
    the reference guide to the Banff classification of renal allograft pathology
    Roufosse C, Simmonds N, Clahsen-van Groningen M, et al. A (2018) <doi:10.1097/TP.0000000000002366>.
    The full description of the Banff classification is available at <https://banfffoundation.org/>.