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adsoRptionMCMC  

Bayesian Estimation of Adsorption Isotherms via MCMC
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("adsoRptionMCMC", "0.1.0")



Attach the package and use:
library("adsoRptionMCMC")
Maintained by
Paul Angelo C. Manlapaz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-30
Latest Update: 2025-05-30
Description:
Provides tools for Bayesian parameter estimation of adsorption isotherm models using Markov Chain Monte Carlo (MCMC) methods. This package enables users to fit non-linear and linear adsorption isotherm models—Freundlich, Langmuir, and Temkin—within a probabilistic framework, capturing uncertainty and parameter correlations. It provides posterior summaries, 95% credible intervals, convergence diagnostics (Gelman-Rubin), and visualizations through trace and density plots. With this R package, researchers can rigorously analyze adsorption behavior in environmental and chemical systems using robust Bayesian inference. For more details, see Gilks et al. (1995) <doi:10.1201/b14835>, and Gamerman & Lopes (2006) <doi:10.1201/9781482296426>.
How to cite:
Paul Angelo C. Manlapaz (2025). adsoRptionMCMC: Bayesian Estimation of Adsorption Isotherms via MCMC. R package version 0.1.0, https://cran.r-project.org/web/packages/adsoRptionMCMC. Accessed 24 Oct. 2026.
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