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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ifit" in publications use:'
type: software
license: MIT
title: 'ifit: Simulation-Based Fitting of Parametric Models with Minimum Prior Information'
version: 1.0.0
doi: 10.32614/CRAN.package.ifit
abstract: Implements an algorithm for fitting a generative model with an intractable
  likelihood using only box constraints on the parameters. The implemented algorithm
  consists of two phases. The first phase (global search) aims to identify the region
  containing the best solution, while the second phase (local search) refines this
  solution using a trust-region version of the Fisher scoring method to solve a quasi-likelihood
  equation. See Guido Masarotto (2025) <https://doi.org/10.48550/arXiv.2511.08180>
  for the details of the algorithm and supporting results.
authors:
- family-names: Masarotto
  given-names: Guido
  email: guido.masarotto@unipd.it
  orcid: https://orcid.org/0000-0003-4697-1606
repository: https://cran.r-universe.dev
commit: a45755bbf9d3dccb84c2b44e9d4600dda6f4f36c
date-released: '2025-11-20'
contact:
- family-names: Masarotto
  given-names: Guido
  email: guido.masarotto@unipd.it
  orcid: https://orcid.org/0000-0003-4697-1606