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calibrar  

Automated Parameter Estimation for Complex Models
View on CRAN: Click here


Download and install calibrar package within the R console
Install from CRAN:
install.packages("calibrar")

Install from Github:
library("remotes")
install_github("cran/calibrar")

Install by package version:
library("remotes")
install_version("calibrar", "0.9.0")



Attach the package and use:
library("calibrar")
Maintained by
Ricardo Oliveros-Ramos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-17
Latest Update: 2024-02-14
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 for more details.
How to cite:
Ricardo Oliveros-Ramos (2016). calibrar: Automated Parameter Estimation for Complex Models. R package version 0.9.0, https://cran.r-project.org/web/packages/calibrar. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.2.0 (2016-02-17 13:43)
Other packages that cited calibrar R package
View calibrar citation profile
Other R packages that calibrar depends, imports, suggests or enhances
Complete documentation for calibrar
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