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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "DRclass" in publications use:'
type: software
license: GPL-3.0-only
title: 'DRclass: Consider Ambiguity in Probabilistic Descriptions Using Density Ratio
  Classes'
version: 0.1.0
doi: 10.32614/CRAN.package.DRclass
abstract: Consider ambiguity in probabilistic descriptions by replacing a parametric
  probabilistic description of uncertainty by a non-parametric set of probability
  distributions in the form of a Density Ratio Class. This is of particular interest
  in Bayesian inference. The Density Ratio Class is particularly suited for this purpose
  as it is invariant under Bayesian inference, marginalization, and propagation through
  a deterministic model. Here, invariant means that the result of the operation applied
  to a Density Ratio Class is again a Density Ratio Class. In particular the invariance
  under Bayesian inference thus enables iterative learning within the same framework
  of Density Ratio Classes. The use of imprecise probabilities in general, and Density
  Ratio Classes in particular, lead to intervals of characteristics of probability
  distributions, such as cumulative distribution functions, quantiles, and means.
  The package is based on a sample of the distribution proportional to the upper bound
  of the class. Typically this will be a sample from the posterior in Bayesian inference.
  Based on such a sample, the package provides functions to calculate lower and upper
  class boundaries and lower and upper bounds of cumulative distribution functions,
  and quantiles. Rinderknecht, S.L., Albert, C., Borsuk, M.E., Schuwirth, N., Kuensch,
  H.R. and Reichert, P. (2014) "The effect of ambiguous prior knowledge on Bayesian
  model parameter inference and prediction." Environmental Modelling & Software. 62,
  300-315, 2014. <https://doi.org/10.1016/j.envsoft.2014.08.020>. Sriwastava, A. and
  Reichert, P. "Robust Bayesian Estimation of Value Function Parameters using Imprecise
  Priors." Submitted. <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4973574>.
authors:
- family-names: Reichert
  given-names: Peter
  email: peter.reichert@emeriti.eawag.ch
- family-names: Sriwastava
  given-names: Ambuj
repository: https://peterreichert.r-universe.dev
repository-code: https://gitlab.com/p.reichert/DRclass
commit: 15e9a0f552a575adbfe58c7b7b41dbe2a19c9084
url: https://gitlab.com/p.reichert/DRclass
date-released: '2025-03-10'
contact:
- family-names: Reichert
  given-names: Peter
  email: peter.reichert@emeriti.eawag.ch