Package: calibrar
Version: 0.9.0
Authors@R: c(
    person("Ricardo", "Oliveros-Ramos", email="ricardo.oliveros@gmail.com", role=c("aut", "cre")))
Title: Automated Parameter Estimation for Complex Models
Description: General optimisation and specific tools for the parameter estimation (i.e. calibration) of complex models, including stochastic ones. It implements generic functions that can be used for fitting any type of models, especially those with non-differentiable objective functions, with the same syntax as base::optim. 
  It supports multiple phases estimation (sequential parameter masking), constrained optimization (bounding box restrictions) and automatic parallel computation of numerical gradients. 
  Some common maximum likelihood estimation methods and automated construction of the objective function from simulated model outputs is provided.  
  See <https://roliveros-ramos.github.io/calibrar/> for more details.
Depends: R (>= 3.5.0)
Imports: BB, cmaes, DEoptim, dfoptim, GenSA, graphics, minqa, optimx,
        foreach, lbfgsb3c, parallel, pso, rgenoud, soma, stats,
        stringr, utils
Suggests: deSolve, ibm, knitr, rmarkdown, testthat (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://roliveros-ramos.github.io/calibrar/
BugReports: https://github.com/roliveros-ramos/calibrar/issues
ByteCompile: TRUE
RoxygenNote: 7.2.3
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-02-14 15:51:09 UTC; roliveros
Author: Ricardo Oliveros-Ramos [aut, cre]
Maintainer: Ricardo Oliveros-Ramos <ricardo.oliveros@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-14 21:30:15 UTC
Built: R 4.6.0; ; 2026-04-26 03:00:59 UTC; unix
