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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "reservr" in publications use:'
type: software
license: GPL-1.0-only
title: 'reservr: Fit Distributions and Neural Networks to Censored and Truncated Data'
version: 0.0.3.9000
doi: 10.32614/CRAN.package.reservr
abstract: Define distribution families and fit them to interval-censored and interval-truncated
  data, where the truncation bounds may depend on the individual observation. The
  defined distributions feature density, probability, sampling and fitting methods
  as well as efficient implementations of the log-density log f(x) and log-probability
  log P(x0 <= X <= x1) for use in 'TensorFlow' neural networks via the 'tensorflow'
  package. Allows training parametric neural networks on interval-censored and interval-truncated
  data with flexible parameterization. Applications include Claims Development in
  Non-Life Insurance, e.g. modelling reporting delay distributions from incomplete
  data, see Bücher, Rosenstock (2022) <https://doi.org/10.1007/s13385-022-00314-4>.
authors:
- family-names: Rosenstock
  given-names: Alexander
  email: alexander.rosenstock@web.de
repository: https://ashesitr.r-universe.dev
repository-code: https://github.com/AshesITR/reservr
commit: 4405efdff7cc26bb30b4994f41bc7ee07271ef4a
url: https://ashesitr.github.io/reservr/
contact:
- family-names: Rosenstock
  given-names: Alexander
  email: alexander.rosenstock@web.de