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/>.

Provides functions for the Bayesian analysis of some simple 
    commonly-used models, without using Markov Chain Monte Carlo (MCMC) 
    methods such as Gibbs sampling.  The 'rust' package
    <https://cran.r-project.org/package=rust> is used to simulate a random 
    sample from the required posterior distribution, using the generalized 
    ratio-of-uniforms method.  See Wakefield, Gelfand and Smith (1991) 
    <DOI:10.1007/BF01889987> for details. At the moment three conjugate 
    hierarchical models are available: beta-binomial, gamma-Poisson and a 1-way 
    analysis of variance (ANOVA).