Bayesian Estimation of Adsorption Isotherms via MCMC
Overview
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.
Install
Health
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage: ‘mcmc_freundlichLM.Rd’ ‘mcmc_freundlichNLM.Rd’ ‘mcmc_langmuirLM1.Rd’ ‘mcmc_langmuirLM2.Rd’ ‘mcmc_langmuirLM3.Rd’ ‘mcmc_langmuirLM4.Rd’ ‘mcmc_langmuirNLM.Rd’ ‘mcmc_temkinLM.Rd’ ‘mcmc_temkinNLM.Rd’ \arguments should not be documented without \usage.
- NOTE11 OK, 2 NOTE2026-09-08
- ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
- NOTE12 OK, 1 NOTE2026-07-11
- OK14 OK2026-03-10
Documentation
- Help pages
- 9
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- 100%
- Help pages citing references
- 89%
Downloads
Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2025-05-30 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-05-30
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 10 KB
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