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deBInfer
View on CRAN: Click
here
Download and install deBInfer package within the R console
Install from CRAN:
install.packages("deBInfer")
Install from Github:
library("remotes")
install_github("cran/deBInfer") Install by package version:
library("remotes")
install_version("deBInfer", "0.4.4") Attach the package and use:
library("deBInfer")
Maintained by
Philipp H Boersch-Supan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-14
Latest Update: 2022-11-17
Description:
A Bayesian framework for parameter inference in differential equations.
This approach offers a rigorous methodology for parameter inference as well as
modeling the link between unobservable model states and parameters, and
observable quantities. Provides templates for the DE model, the
observation model and data likelihood, and the model parameters and their prior
distributions. A Markov chain Monte Carlo (MCMC) procedure processes these inputs
to estimate the posterior distributions of the parameters and any derived
quantities, including the model trajectories. Further functionality is provided
to facilitate MCMC diagnostics and the visualisation of the posterior distributions
of model parameters and trajectories.
How to cite:
Philipp H Boersch-Supan (2016). deBInfer: Bayesian Inference for Differential Equations. R package version 0.4.4, https://cran.r-project.org/web/packages/deBInfer. Accessed 07 Mar. 2026.
Previous versions and publish date:
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Other R packages that deBInfer depends,
imports, suggests or enhances
Complete documentation for deBInfer
Functions, R codes and Examples using
the deBInfer R package
Some associated functions: chytrid . de_mcmc . debinfer_cov . debinfer_par . deinits . depars . is.debinfer_parlist . is.debinfer_result . log_post_params . log_prior_params . logd_prior . logistic . pairs.debinfer_result . plot.debinfer_result . plot.post_sim_list . post_prior_densplot . post_sim . prior_draw_rev . propose_joint_rev . propose_single_rev . reshape_post_sim . setup_debinfer . solve_de . summary.debinfer_result . update_sample_rev .
Some associated R codes: data_doc.R . de_mcmc_rev.R . de_solver.R . debinfer_utils.R . mcmc_plotting.R . setup_mcmc.R . Full deBInfer package functions and examples
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