Package: ifit
Type: Package
Title: Simulation-Based Fitting of Parametric Models with Minimum Prior
        Information
Version: 1.0.0
Authors@R: person(given = "Guido",
                  family = "Masarotto",
                  role = c("aut", "cre"),
                  email = "guido.masarotto@unipd.it", 
                  comment = c(ORCID = "0000-0003-4697-1606"))
Description: 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) <doi:10.48550/arXiv.2511.08180> for the details of the algorithm and supporting results.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, lpSolve, parallel, splines, stats, graphics
Suggests: lattice
Depends: R (>= 3.5.0)
LazyData: TRUE
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2025-11-17 09:35:48 UTC; guido
Author: Guido Masarotto [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4697-1606>)
Maintainer: Guido Masarotto <guido.masarotto@unipd.it>
Repository: CRAN
Date/Publication: 2025-11-20 15:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 19:39:01 UTC; unix
Archs: ifit.so.dSYM
