Automated Parameter Estimation for Complex Models
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 21 (5 internal)includes a package overview page
- Examples that run
- 67%6 run in a plain check · 3 never run
- Exported functions with examples
- 50%
- Documented parameters
- 93%
- Return-value docs
- 81%
- Help pages citing references
- 10%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 6
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
8 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/roliveros-ramos/calibrar on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-04-22 · The repository has a site deploy workflow
pkgdown site last built 2025-12-20
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.9.0Latest2024-02-14 · current release · diff ↗ ·
removed 3 exports
SphereN, calibrarDemo, optimESadded 15 exports
.get_command_argument, .read_configuration, ahres, calibrar_demo, calibration_data, calibration_objFn, calibration_setup, fitness, gaussian_kernel, gradient, objFn, optim2, optimh, sphereN, spline_par - RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.2.02016-02-17
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-02-17
- Total releases
- 2 / 10 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 293 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("calibrar")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
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